{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TMDB_5000 data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 导入模块\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from wordcloud import WordCloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 更改字体\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "#读取人员列表信息及电影列表信息\n",
    "credits = pd.read_csv('tmdb_5000_credits.csv', encoding='utf_8')\n",
    "movies = pd.read_csv('tmdb_5000_movies.csv', encoding='utf_8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4803 entries, 0 to 4802\n",
      "Data columns (total 4 columns):\n",
      "movie_id    4803 non-null int64\n",
      "title       4803 non-null object\n",
      "cast        4803 non-null object\n",
      "crew        4803 non-null object\n",
      "dtypes: int64(1), object(3)\n",
      "memory usage: 150.2+ KB\n"
     ]
    }
   ],
   "source": [
    "#####数据清洗#####\n",
    "credits.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#credits.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 两个数据表中title列重复，删除credits中的title列\n",
    "del credits['title']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 合并两个表，以id和movie_id相同合并\n",
    "movie_merge = pd.merge(movies, credits, left_on='id', right_on='movie_id', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_countries</th>\n",
       "      <th>release_date</th>\n",
       "      <th>runtime</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>162.0</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
       "      <td>285</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>169.0</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
       "      <td>206647</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>[{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"...</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>148.0</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
       "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>http://www.thedarkknightrises.com/</td>\n",
       "      <td>49026</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>165.0</td>\n",
       "      <td>The Legend Ends</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</td>\n",
       "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://movies.disney.com/john-carter</td>\n",
       "      <td>49529</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>132.0</td>\n",
       "      <td>Lost in our world, found in another.</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</td>\n",
       "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
       "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              genres  \\\n",
       "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "1  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
       "2  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "3  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
       "4  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                                       homepage      id  \\\n",
       "0                   http://www.avatarmovie.com/   19995   \n",
       "1  http://disney.go.com/disneypictures/pirates/     285   \n",
       "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
       "3            http://www.thedarkknightrises.com/   49026   \n",
       "4          http://movies.disney.com/john-carter   49529   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...   \n",
       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...   \n",
       "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...   \n",
       "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...   \n",
       "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...   \n",
       "\n",
       "                                            overview  popularity  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "3  Following the death of District Attorney Harve...  112.312950   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   \n",
       "\n",
       "                                production_countries release_date  runtime  \\\n",
       "0  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2009-12-10    162.0   \n",
       "1  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2007-05-19    169.0   \n",
       "2  [{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"...   2015-10-26    148.0   \n",
       "3  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2012-07-16    165.0   \n",
       "4  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2012-03-07    132.0   \n",
       "\n",
       "                                          tagline  \\\n",
       "0                     Enter the World of Pandora.   \n",
       "1  At the end of the world, the adventure begins.   \n",
       "2                           A Plan No One Escapes   \n",
       "3                                 The Legend Ends   \n",
       "4            Lost in our world, found in another.   \n",
       "\n",
       "                                      title  vote_average  vote_count  \\\n",
       "0                                    Avatar           7.2       11800   \n",
       "1  Pirates of the Caribbean: At World's End           6.9        4500   \n",
       "2                                   Spectre           6.3        4466   \n",
       "3                     The Dark Knight Rises           7.6        9106   \n",
       "4                               John Carter           6.1        2124   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
       "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
       "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
       "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
       "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
       "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
       "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
       "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 删除无关的列\n",
    "movie_merge.drop(['original_title', 'original_language', 'spoken_languages', 'status', 'movie_id', 'budget', \n",
    "                 'production_companies', 'revenue'], axis=1, inplace=True)\n",
    "movie_merge.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 4803 entries, 0 to 4802\n",
      "Data columns (total 15 columns):\n",
      "genres                  4803 non-null object\n",
      "homepage                1712 non-null object\n",
      "id                      4803 non-null int64\n",
      "keywords                4803 non-null object\n",
      "overview                4800 non-null object\n",
      "popularity              4803 non-null float64\n",
      "production_countries    4803 non-null object\n",
      "release_date            4802 non-null object\n",
      "runtime                 4801 non-null float64\n",
      "tagline                 3959 non-null object\n",
      "title                   4803 non-null object\n",
      "vote_average            4803 non-null float64\n",
      "vote_count              4803 non-null int64\n",
      "cast                    4803 non-null object\n",
      "crew                    4803 non-null object\n",
      "dtypes: float64(3), int64(2), object(10)\n",
      "memory usage: 600.4+ KB\n"
     ]
    }
   ],
   "source": [
    "#查看数据信息，查看那个字段数据量小于4803\n",
    "movie_merge.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "genres                  False\n",
       "homepage                 True\n",
       "id                      False\n",
       "keywords                False\n",
       "overview                 True\n",
       "popularity              False\n",
       "production_countries    False\n",
       "release_date             True\n",
       "runtime                  True\n",
       "tagline                  True\n",
       "title                   False\n",
       "vote_average            False\n",
       "vote_count              False\n",
       "cast                    False\n",
       "crew                    False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看具有缺失值的列\n",
    "movie_merge.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        text-align: right;\n",
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       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>4553</th>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>380097</td>\n",
       "      <td>[]</td>\n",
       "      <td>1971 post civil rights San Francisco seemed li...</td>\n",
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       "      <td>America Is Still the Place</td>\n",
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       "      <td>0</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
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      ],
      "text/plain": [
       "     genres homepage      id keywords  \\\n",
       "4553     []      NaN  380097       []   \n",
       "\n",
       "                                               overview  popularity  \\\n",
       "4553  1971 post civil rights San Francisco seemed li...         0.0   \n",
       "\n",
       "     production_countries release_date  runtime tagline  \\\n",
       "4553                   []          NaN      0.0     NaN   \n",
       "\n",
       "                           title  vote_average  vote_count cast crew  \n",
       "4553  America Is Still the Place           0.0           0   []   []  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 找出上映日期为空的电影\n",
    "movie_merge.loc[movie_merge['release_date'].isnull()==True]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 网上搜索该电影的上映日期，填充其值\n",
    "movie_merge['release_date'] = movie_merge['release_date'].fillna('2014-06-01')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2656</th>\n",
       "      <td>[{\"id\": 18, \"name\": \"Drama\"}]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>370980</td>\n",
       "      <td>[{\"id\": 717, \"name\": \"pope\"}, {\"id\": 5565, \"na...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.738646</td>\n",
       "      <td>[{\"iso_3166_1\": \"IT\", \"name\": \"Italy\"}]</td>\n",
       "      <td>2015-12-03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Chiamatemi Francesco - Il Papa della gente</td>\n",
       "      <td>7.3</td>\n",
       "      <td>12</td>\n",
       "      <td>[{\"cast_id\": 5, \"character\": \"Jorge Mario Berg...</td>\n",
       "      <td>[{\"credit_id\": \"5660019ac3a36875f100252b\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4140</th>\n",
       "      <td>[{\"id\": 99, \"name\": \"Documentary\"}]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>459488</td>\n",
       "      <td>[{\"id\": 6027, \"name\": \"music\"}, {\"id\": 225822,...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.050625</td>\n",
       "      <td>[{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"}]</td>\n",
       "      <td>2015-12-12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>To Be Frank, Sinatra at 100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>[{\"cast_id\": 0, \"character\": \"Narrator\", \"cred...</td>\n",
       "      <td>[{\"credit_id\": \"592b25e4c3a368783e065a2f\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   genres homepage      id  \\\n",
       "2656        [{\"id\": 18, \"name\": \"Drama\"}]      NaN  370980   \n",
       "4140  [{\"id\": 99, \"name\": \"Documentary\"}]      NaN  459488   \n",
       "\n",
       "                                               keywords overview  popularity  \\\n",
       "2656  [{\"id\": 717, \"name\": \"pope\"}, {\"id\": 5565, \"na...      NaN    0.738646   \n",
       "4140  [{\"id\": 6027, \"name\": \"music\"}, {\"id\": 225822,...      NaN    0.050625   \n",
       "\n",
       "                                  production_countries release_date  runtime  \\\n",
       "2656           [{\"iso_3166_1\": \"IT\", \"name\": \"Italy\"}]   2015-12-03      NaN   \n",
       "4140  [{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"}]   2015-12-12      NaN   \n",
       "\n",
       "     tagline                                       title  vote_average  \\\n",
       "2656     NaN  Chiamatemi Francesco - Il Papa della gente           7.3   \n",
       "4140     NaN                 To Be Frank, Sinatra at 100           0.0   \n",
       "\n",
       "      vote_count                                               cast  \\\n",
       "2656          12  [{\"cast_id\": 5, \"character\": \"Jorge Mario Berg...   \n",
       "4140           0  [{\"cast_id\": 0, \"character\": \"Narrator\", \"cred...   \n",
       "\n",
       "                                                   crew  \n",
       "2656  [{\"credit_id\": \"5660019ac3a36875f100252b\", \"de...  \n",
       "4140  [{\"credit_id\": \"592b25e4c3a368783e065a2f\", \"de...  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 找出runtime的两条缺失数据，并搜索填充\n",
    "movie_merge.loc[movie_merge['runtime'].isnull()==True]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "movie_merge['runtime'] = movie_merge['runtime'].fillna(94, limit=1)#限制每次只填补一个值\n",
    "movie_merge['runtime'] = movie_merge['runtime'].fillna(240, limit=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 将release_date转为日期类型\n",
    "movie_merge['release_date'] = pd.to_datetime(movie_merge['release_date'],format='%Y-%m-%d',\n",
    "                                            errors='coerce').dt.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 填充缺失值，字符串null\n",
    "movie_merge['homepage'] = movie_merge['homepage'].fillna('null')\n",
    "movie_merge['overview'] = movie_merge['overview'].fillna('null')\n",
    "movie_merge['tagline'] = movie_merge['tagline'].fillna('null')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "### json数据转换为字符串\n",
    "# movie_merge的json数据解析\n",
    "import json\n",
    "json_cols = ['genres', 'keywords', 'production_countries', 'cast', 'crew']\n",
    "# 应用json.loads解码转换为字典列表，json.dumps编码\n",
    "for i in json_cols:\n",
    "    movie_merge[i] = movie_merge[i].map(json.loads)\n",
    "# 将字典内的name取出，以，分隔\n",
    "def getname(x):\n",
    "    list = []\n",
    "    for i in x:\n",
    "        list.append(i['name'])\n",
    "    return ','.join(list)\n",
    "# 对json_cols中前三个执行函数\n",
    "for i in json_cols[0:3]:\n",
    "    movie_merge[i] = movie_merge[i].map(getname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 提取四名主演和导演\n",
    "# 定义提取主演的函数\n",
    "def get_char(x):\n",
    "    list = []\n",
    "    for i in x:\n",
    "        list.append(i['character'])\n",
    "    return ','.join(list[0:4])\n",
    "# 对cast执行函数\n",
    "movie_merge['cast'] = movie_merge['cast'].map(get_char)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 定义提取导演的函数\n",
    "def get_director(x):\n",
    "    list = []\n",
    "    for i in x:\n",
    "        if i['job']=='Director':\n",
    "            list.append(i['name'])\n",
    "    return ','.join(list)\n",
    "# 对cast执行函数\n",
    "movie_merge['crew'] = movie_merge['crew'].map(get_director)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_countries</th>\n",
       "      <th>year</th>\n",
       "      <th>runtime</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>actor</th>\n",
       "      <th>director</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action,Adventure,Fantasy,Science Fiction</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>culture clash,future,space war,space colony,so...</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>United States of America,United Kingdom</td>\n",
       "      <td>2009</td>\n",
       "      <td>162.0</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "      <td>Jake Sully,Neytiri,Dr. Grace Augustine,Col. Qu...</td>\n",
       "      <td>James Cameron</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adventure,Fantasy,Action</td>\n",
       "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
       "      <td>285</td>\n",
       "      <td>ocean,drug abuse,exotic island,east india trad...</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>2007</td>\n",
       "      <td>169.0</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "      <td>Captain Jack Sparrow,Will Turner,Elizabeth Swa...</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Action,Adventure,Crime</td>\n",
       "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
       "      <td>206647</td>\n",
       "      <td>spy,based on novel,secret agent,sequel,mi6,bri...</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>United Kingdom,United States of America</td>\n",
       "      <td>2015</td>\n",
       "      <td>148.0</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "      <td>James Bond,Blofeld,Madeleine,M</td>\n",
       "      <td>Sam Mendes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     genres  \\\n",
       "0  Action,Adventure,Fantasy,Science Fiction   \n",
       "1                  Adventure,Fantasy,Action   \n",
       "2                    Action,Adventure,Crime   \n",
       "\n",
       "                                       homepage      id  \\\n",
       "0                   http://www.avatarmovie.com/   19995   \n",
       "1  http://disney.go.com/disneypictures/pirates/     285   \n",
       "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  culture clash,future,space war,space colony,so...   \n",
       "1  ocean,drug abuse,exotic island,east india trad...   \n",
       "2  spy,based on novel,secret agent,sequel,mi6,bri...   \n",
       "\n",
       "                                            overview  popularity  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "\n",
       "                      production_countries  year  runtime  \\\n",
       "0  United States of America,United Kingdom  2009    162.0   \n",
       "1                 United States of America  2007    169.0   \n",
       "2  United Kingdom,United States of America  2015    148.0   \n",
       "\n",
       "                                          tagline  \\\n",
       "0                     Enter the World of Pandora.   \n",
       "1  At the end of the world, the adventure begins.   \n",
       "2                           A Plan No One Escapes   \n",
       "\n",
       "                                      title  vote_average  vote_count  \\\n",
       "0                                    Avatar           7.2       11800   \n",
       "1  Pirates of the Caribbean: At World's End           6.9        4500   \n",
       "2                                   Spectre           6.3        4466   \n",
       "\n",
       "                                               actor        director  \n",
       "0  Jake Sully,Neytiri,Dr. Grace Augustine,Col. Qu...   James Cameron  \n",
       "1  Captain Jack Sparrow,Will Turner,Elizabeth Swa...  Gore Verbinski  \n",
       "2                     James Bond,Blofeld,Madeleine,M      Sam Mendes  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 重命名列\n",
    "rename_col = {'release_date': 'year', 'cast': 'actor', 'crew': 'director'}\n",
    "movie_merge.rename(columns=rename_col, inplace=True)\n",
    "movie_merge.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "merge_df = movie_merge.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'',\n",
       " 'Action',\n",
       " 'Adventure',\n",
       " 'Animation',\n",
       " 'Comedy',\n",
       " 'Crime',\n",
       " 'Documentary',\n",
       " 'Drama',\n",
       " 'Family',\n",
       " 'Fantasy',\n",
       " 'Foreign',\n",
       " 'History',\n",
       " 'Horror',\n",
       " 'Music',\n",
       " 'Mystery',\n",
       " 'Romance',\n",
       " 'Science Fiction',\n",
       " 'TV Movie',\n",
       " 'Thriller',\n",
       " 'War',\n",
       " 'Western'}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#####数据可视化#####\n",
    "# 哪种类型电影数量最多，及电影类型随时间的变化趋势\n",
    "# 提取所有的电影类型，genres数据以，分隔\n",
    "genres_set = set()\n",
    "for x in merge_df['genres']:\n",
    "    genres_set.update(x.split(','))\n",
    "genres_set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "genres_set.discard('') #删除‘’字符"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 对各种电影类型进行one-hot编码,如果一个值中包含指定内容，则编码为1，否则编码为0\n",
    "genres_df = pd.DataFrame()\n",
    "for gen in genres_set:\n",
    "    genres_df[gen] = merge_df['genres'].str.contains(gen).map(lambda x: 1 if x else 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# genres_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "genres_df['year']=merge_df['year']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style>\n",
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       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th>Fantasy</th>\n",
       "      <th>TV Movie</th>\n",
       "      <th>Animation</th>\n",
       "      <th>War</th>\n",
       "      <th>History</th>\n",
       "      <th>Western</th>\n",
       "      <th>Horror</th>\n",
       "      <th>Comedy</th>\n",
       "      <th>Mystery</th>\n",
       "      <th>Romance</th>\n",
       "      <th>Foreign</th>\n",
       "      <th>Adventure</th>\n",
       "      <th>Documentary</th>\n",
       "      <th>Family</th>\n",
       "      <th>Science Fiction</th>\n",
       "      <th>Drama</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1927</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Action  Crime  Thriller  Music  Fantasy  TV Movie  Animation  War  \\\n",
       "year                                                                      \n",
       "1916       0      0         0      0        0         0          0    0   \n",
       "1925       0      0         0      0        0         0          0    1   \n",
       "1927       0      0         0      0        0         0          0    0   \n",
       "1929       0      0         1      1        0         0          0    0   \n",
       "1930       1      0         0      0        0         0          0    0   \n",
       "\n",
       "      History  Western  Horror  Comedy  Mystery  Romance  Foreign  Adventure  \\\n",
       "year                                                                           \n",
       "1916        0        0       0       0        0        0        0          0   \n",
       "1925        0        0       0       0        0        1        0          0   \n",
       "1927        0        0       0       0        0        0        0          0   \n",
       "1929        0        0       0       0        0        2        0          0   \n",
       "1930        1        0       0       0        0        0        0          0   \n",
       "\n",
       "      Documentary  Family  Science Fiction  Drama  \n",
       "year                                               \n",
       "1916            0       0                0      1  \n",
       "1925            0       0                0      1  \n",
       "1927            0       0                1      1  \n",
       "1929            0       0                0      2  \n",
       "1930            0       0                0      1  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将genres_df按year分组，计算每组之和。\n",
    "genre_year = genres_df.groupby('year').sum()\n",
    "genre_year.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Drama              2297\n",
       "Comedy             1722\n",
       "Thriller           1274\n",
       "Action             1154\n",
       "Romance             894\n",
       "Adventure           790\n",
       "Crime               696\n",
       "Science Fiction     535\n",
       "Horror              519\n",
       "Family              513\n",
       "Fantasy             424\n",
       "Mystery             348\n",
       "Animation           234\n",
       "History             197\n",
       "Music               185\n",
       "War                 144\n",
       "Documentary         110\n",
       "Western              82\n",
       "Foreign              34\n",
       "TV Movie              8\n",
       "dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#计算每个类型的电影总数目，并降序排列\n",
    "genresum_year = genre_year.sum().sort_values(ascending=False)\n",
    "genresum_year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/MzOzmnHwNzMzqxkHfzMzs5px8DczM6sZJ/yZmdk0OZFw1uKev5mZWc04+JuZ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\nm5mZ9RgHfzMzsx7z/3PAeoF+TyNsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x17a49780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 可视化每个类型电影总数\n",
    "fig = plt.figure(figsize=(8, 6)) # 设置画图框尺寸\n",
    "ax = plt.subplot(1, 1, 1)# 设置图的位置\n",
    "ax = genresum_year.plot.bar() #画直方图\n",
    "plt.xticks(rotation=60) # 设置图形格式\n",
    "plt.title('各个类型电影总数', fontsize=18)\n",
    "plt.xlabel('电影类型', fontsize=18)\n",
    "plt.ylabel('数量', fontsize=18)\n",
    "plt.show()\n",
    "fig.savefig('film genre number.png', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Action</th>\n",
       "      <th>Crime</th>\n",
       "      <th>Thriller</th>\n",
       "      <th>Music</th>\n",
       "      <th>Fantasy</th>\n",
       "      <th>TV Movie</th>\n",
       "      <th>Animation</th>\n",
       "      <th>War</th>\n",
       "      <th>History</th>\n",
       "      <th>Western</th>\n",
       "      <th>Horror</th>\n",
       "      <th>Comedy</th>\n",
       "      <th>Mystery</th>\n",
       "      <th>Romance</th>\n",
       "      <th>Foreign</th>\n",
       "      <th>Adventure</th>\n",
       "      <th>Documentary</th>\n",
       "      <th>Family</th>\n",
       "      <th>Science Fiction</th>\n",
       "      <th>Drama</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1960</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1961</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1963</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Action  Crime  Thriller  Music  Fantasy  TV Movie  Animation  War  \\\n",
       "year                                                                      \n",
       "1960       0      0         1      0        0         0          0    0   \n",
       "1961       1      1         0      1        0         0          0    0   \n",
       "1962       2      1         1      0        0         0          0    2   \n",
       "1963       4      1         2      0        0         0          0    1   \n",
       "1964       2      0         2      2        1         0          0    2   \n",
       "\n",
       "      History  Western  Horror  Comedy  Mystery  Romance  Foreign  Adventure  \\\n",
       "year                                                                           \n",
       "1960        0        0       1       1        0        1        0          0   \n",
       "1961        1        0       0       1        0        1        0          0   \n",
       "1962        2        1       1       0        0        1        0          2   \n",
       "1963        4        1       0       3        0        3        0          5   \n",
       "1964        1        1       0       3        0        2        0          1   \n",
       "\n",
       "      Documentary  Family  Science Fiction  Drama  \n",
       "year                                               \n",
       "1960            0       0                0      3  \n",
       "1961            0       0                0      5  \n",
       "1962            0       0                1      4  \n",
       "1963            0       0                0      4  \n",
       "1964            0       2                0      6  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genre_year60 = genre_year.loc[1960:, :]\n",
    "genre_year60.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NCCGEaGd7K2ub7fgEyaiJ5iRQE0IIIdqR1po9VdXNpj3hXL9PWaMmbBKoRVFu\nbi7f/va3AZg3bx65ubkhXe+vKbsQQoiurbjOTZmnodlGAjD9PtOcDk676ztgZKIzkkAtyj777LMm\nf4ZCmrILIUT3s7eyFsDv1CeY6c9Tde72HJLoxHpMZ4LipUup3R3ZpuxxF49iwAMPtHhObGwsp0+f\nxuUy9XDy8/PJyclh9erVANx8883cdNNNlJWVkZGRweuvv47TSn17N2WvqakhNzeXw4cPk5qaymuv\nvUZiYmJEX48QQojo21NZDdCs2K1NuhMIb5JRi7KxY8fy6quvMnbsWL+P79q1i5iYGAoKCli4cCEV\nFRV+z1u5ciVjx47l/fff58Ybb2Tnzp3RHLYQQogo2VtZS7rLEbCgbUask9N10Zv6LHV7+Kq6Nmr3\nF5HVYzJqrWW+omXcuHGsXr2aW265pcn0Z3V1NQkJCYwbN47s7GxmzJjB8OHDmTlzpt/7fPHFF9x4\n440AIa91E0II0Xn46/HpLcPl5EO3//9pj4SfHzjK2pNn2XrlJSQ5HFF7HhEZklGLsnHjxvHxxx8z\nbtw4Xn75ZU6ePAlAXl4eYNauTZkyhXfeeYczZ85QWFjo9z6jRo3i448/BmDp0qU899xz7fMChBBC\nRExjj8/ElgO1aPb7/LSsilJPPf9bfCYq9xeRJYFalGVmZjJixAiGDBnCDTfcwFNPPcWiRYvIyMho\nfPy3v/0tV155JcXFxUyY4L/t11133cW2bdvIyclh27Zt3H777e35MoQQQkTA8ToPZz31LWfUYp1o\n4EwUdn7W1Dewr8p0RXj+yCm6S7/v7qzHTH12BHvDwJ49ewD405/+5Pe8devW+T1ubyQASEhI4LXX\nXovo+IQQQrSvxh6fLQRqfbz6ffp2LgjX3qoa6jV8I6MX754u44PSCqampUT0OURkdVhGTSnVXylV\naP19sFIqXym1USm1UhkupdQapdQHSqk7OmqcQgghRKSc6/HZQqBmBWfRKNGxs8LsOH1w6Hmkuxw8\nd/hkxJ9DRFaHBGpKqTTgD0CSdeh7wPe11tOBQcBo4F5gq9Z6CjBXKSUhvxBCiC6tscenK3CmLKMx\noxb5qc+i8mqSHDGMTIrn9vP78M6pMtkB2sl1VEatHrgZKAPQWj+otd5tPZYBnAJyAHuurwBotnhL\nKfVdpdQnSqlP7EX6QgghRGdlbyRQSgU8J8MVvTZSRRXVXJKUQIxSLDg/A6Vg9ZFTEX8eETkdEqhp\nrcu01mdMdC0+AAAgAElEQVR9jyulbgaKtNZHMdm2I9ZDJUB/P/dZqbWeoLWe0Ldv36iOWQghhAiH\n1rrV0hwA6a7oTH02aM3OimqyUkyP0fPjY7muTyovHyuhsl5aVnVWnWbXp1JqKPBjwG5wWQHYHWuT\n6URjFUIIIUJl7/hsaSMBRK/f56GaOirqG8hOPtcM/s6BfTjrqeeN41Kqo7PqFMGPtWbtj8AdXpm2\nrcBU6+9jgYMdMLSwLFmyhIsvvpicnBxycnJ4+umng752+/btbN++PYqjE0II0Z6C2UhgM90JIjv1\naW8kyPIK1K7onUR2cgLPHZZSHZ1VZynPsRgYDDxlzdv/DLPZ4K9Kqa8BlwB/67jhtd2DDz7Ibbfd\nFvJ1dpB26aWXRnpIQgghOsCeUAK1KPT73FleTQwwyuv5lVJ8Z2Af/u2LQ1Kqo5Pq0EBNa51j/flT\n4Ke+jyulrsZk1R7RWoeVAy58bS+nDkW2JUefQcl87dsjgj6/oqKCuXPnUllZybBhw1i1ahVLlizB\n7XZTWFhIWVkZeXl5/OY3v+HNN98E4MUXX2TDhg1+r62urm7W0P3RRx/l4osvZt68eSxZsoRRo0Yx\nb968iL5uIYQQodtb1fqOT1ufWCf7KiO7G7OoopphifEkOJpOpn2rXxqPHjjK84dPSaDWCXWKqc9A\ntNZHtdav+dt40FU8/vjj5OTk8IMf/IBjx45x77338u6773Lw4EGOHz8OwP79+ykoKGDOnDls3LiR\nZcuWsXjxYhYvXsyGDRsA/F7rr6H7/PnzefnllwFTSPeb3/xmh712IYQQ5+ypbH3Hpy0aGbWiimqy\nUxKaHU9wxHDbeRmsO3WWf0ipjk6ns0x9Rl0oma9I8p76PHjwIM899xyrVq2ipKSE6mqzXmD+/PkA\nDB48mLq6Or/3cblcza7119A9NTWV8vJy8vPzyc7OJiGh+X+UQggh2pe94/Ob/VKDOt/0+/RQrzWO\nIAK71pxxezhS626yPs3bggv68MyhE6w+cppHhp0f9vOJyOnUGbXu5vnnn2fu3Ln88Y9/JCkpqfG4\n999tCQkJVFVVAeY/cH/XBmroPm/ePO64447GAFAIIUTHOhFEj09vGbFOGohcv88iayNBdoBA7YL4\nWK7t05uXj52mqr4hIs8pIkMCtXZ09dVXs2zZMqZPnw7AkSNHWjz3jTfeYMqUKRQWFvq9NlBD97lz\n56KUYurUqQHvL4QQov2EspEAmvb7jAQ7ULskOfDzf2dgX0qlVEen02OmPjvCkiVLmnw/bdo0du7c\n2eTYlClTGv+em5vb+Pf09HTefffdJuf6XgvNG7oXFRWxcOFCHnjggaDWQQghhIi+vVWhBWqN3Qnq\nPOeaLYZhZ0U1/WOd9I11BTxnUu8kspLjef7wSW49L10+QzoJCdS6maysLD766KOOHoYQQggveypr\nSHMGt+MTzNQnwKlIZdTKqwOuT7MppfjOBX350Z5DbC6tYIrsAO0UZOpTCCGEiLK9VuuoYLNUkZz6\nrG1oYG9VTcD1ad5m908jzengBen/2WlIoCaEEEJEkb3js7XWUd7SvKc+w7S3sgaPprHHZ0sSHDHc\nen4Ga0+e5VCN/yoEon1JoCaEEEJE0Yk6D6VB9Pj05opRpDodEcmo7Wxlx6ev3Av6ALBasmqdggRq\nQgghRBTZOy4vDiFQA9Od4FQEMmpFFdUkOmLITIgL6vyB8bFcld6LtSe7bK35bkUCtSh6+umnycnJ\nISEhgZycHN58800mTpzIvn37APjzn//MwoUL/V6bm5vLt7/9bcDURfPeERqs++67r81jF0IIERnb\nyqpQwNiUxJCui1R3gp3l1VySFB9S4dxxvRL5srqWSk9k6riJtpNALYruuece8vPzueCCC8jPz2f2\n7NnMnDmT9evXA7BhwwauueaagNd/9tlnTf4M1YoVK9p0nRBCiMjZVlbJiKR4kp2OkK6LRKCmtWZX\nZes7Pn1lpySggd1W/TfRcXpMeY73Vq/kxFd/j+g9+w0ZylW53w3pmmuuuYYnnniCH/zgB7z33ns8\n8sgjAc+NjY3l9OnTuFym7k1tbS25ubkcPXqUgQMHsmrVKn71q1+RlZXFt771LZYtW8awYcO46aab\nAMjJySE/Px+Aqqoq5s+fz4kTJxg9ejTPPPNM2160EEKIoGmt2V5exTV9eod8bZ9YJ387WxnW8x+q\nqaPM0+C3x2dLLrECu50V1UzoHYFCbqLNJKPWziZOnMj27ds5fPgwiYmJZGRkBDx37NixvPrqq4wd\nOxaA3//+92RnZ7Np0yaGDx/OCy+8wE033cTatWsBKCgo4LrrrvN7r5UrV5KdnU1BQQHHjh1jx44d\nkX9xQgghmviqpo4Sdz3jeoU27Qnn+n02aN3m57fXx4WaURsY56K309F4veg4PSajFmrmK1ocDgfj\nx4/nl7/8JTNmzGjx3HHjxrF69WpuueUWPvvsM3bt2sWcOXMAmDRpEmvXrmXRokUcPnyYsrIyUlNT\n/fYNBdizZw+bN28mPz+f0tJSjhw5wpgxYyL++oQQoqvIO3mWCxPjgu4W0BbbykzP5nG9Qs9Keff7\ntAvghmpnRTUxwKik0AI1pRRZyQkSqHUCklHrADNnzuTZZ59l5syZLZ43btw4Pv74Y8aNGweYrgNb\ntmwBYMuWLWRlZQFwxRVXsGLFCm644YaA9xo5ciT33Xcf+fn5PPbYYwwePDhCr0YIIbqm+774B787\ndCKqz/FpWSUJMTGMTAw9GMyIQNHboopqLkqMI9ER+sd9dnICuyuqqQ8joyfCJ4FaB7jmmmtITk5m\n4sSJLZ6XmZnJiBEjGDJkCAB33nknRUVFTJs2jX379jXuBL3ppptYsWIF119/fcB73XXXXaxdu5Zp\n06bx7LPPMmjQoIi9HiGE6GrcDZpSTz0lEWrRFMi2sirGpiTgjAm9b6bdnSCcEh07K0LfSGDLSk6g\nukHz96raNj+/CF+PmfrsSPv372/y/cCBAzlz5kyL16xevRowU5be3//xj39sdu4ll1xCSUlJs+P2\nRgKApKQkXnvttRBGLYQQ3VepxwQ/Z9zRKz9R19DAzopq7rAKyIbKnu5sa0at1O3hcI2bBee3LVCz\nNyAUVVQzPIrTw6JlklETQgjR49jBTzQzakUVNdQ26DatT4Pwpz6LQuxI4Gt4YhwupRo7G4iOIYGa\nEEKIHsfuoVkaxYKun5aZ0hqXtWHHJ0B6mFOfjYFaiKU5bLExMYxMipcNBR1MAjUhhBA9Tok15XnG\n7UFHabH8trIq+sU6uSDO1abrw+33ubOimn6xTvrGtu35waxTk4xax5JATQghRI9jT3l6NFTUN0Tl\nOT4tq2Jcr0RUCK2bfIXTnaAojI0EtuzkBE7WeThR6w7rPqLtJFATQgjR43ivTTsThXVqpW4PB6pr\n27w+zZbRxsbsdQ0N7K2sbfP6NFuWV4cC0TFk12eUlZSUMGTIEE6ePEl8fOBdM/fdd1+benPm5+eT\nmZlJZmZm47Hi4mJWr17N4sWL2zJkIYTo9poEap56Il1Zcnu5KXR7WYiN2H31cTk5UB16eYx9VbW4\ntQ47o3ZJsvncKqqoZnpGr7DuFch/HizmQCslQFwxih9lDmBQfGxUxtCZSaAWZevXr6empoaCgoIW\nOxG0tYF6fn4+OTk5TQK1AQMGSJAmhBAtKPEqyxGNjNq2sioUcGkbNxLYMmKdfNSGfp87y8PbSGBL\ndTkZGO+K2oaCck89v/yymHSXg2RH4Kb1/6ipY0h8LPdlDojKODqzHhOola45QN3R8Jrb+oo9P4nU\nWRe1eE5eXh533303eXl5bN68GbfbTWFhIWVlZeTl5TFggPml826gPn78ePr160dsbCzFxcUsXLiQ\nG264gW9/+9sopZg2bRqPP/44Cxcu5L333uOtt94iKyuLl156CYCDBw+yZMmSxtprJSUlLFiwgNLS\nUsaPH8+KFSvIzc1l6NChrF+/nvr6ejZs2EBCQnj/QQshRFdxus5DiiOG8voGSqNQS21bWRXDE+NJ\ncQYOPoKR4XJSYvX7jAlhrVtRRTUJMTFcmBAX1vODWacWrUDteJ1Z+/bosAu4cUB6wPMmb9nFjvKe\nOf0qa9Si7MMPP+Shhx5iw4YNgCl+W1BQwJw5c9i4caPfa6qqqnj99dfZsWMHL7/8Mn/72984cuQI\ny5cvZ+3ataxZswaAVatWkZuby4oVKxqDNH+WLl3KvHnzKCws5OzZs+Tl5QFQUVFBYWEho0aN4tNP\nP43wKxdCiM6rxO3hIqutU6RrqWmt2VZW2aZG7L76ePX7DMXOimouTo7HEcZGBltWcgL7q2qprI98\nQHvc2qTQv5WdsWNSEvnMmk7uaXpMRq21zFc07Nixg1OnTjF37lwOHjzIoUOHmD9/PgCDBw+mrq7O\n73X9+/cnOTmZIUOG4HA40FrjdDr5+c9/TnJyMuXl5SGNY9euXSxatAiAiRMnsnv3bgAWLFjQ6liE\nEKI7Ou32MCk1me3lVRHvTvCPmjpK3PVtrp/mzbvobbCN2bXWFFVU881+qWE/P5iMmgb2VNQwrnd4\nmyN8nbQ2SrRWQmRsSiL/d6KU03XBvw/dhWTUomjdunU88MAD5Ofn88Mf/pB169aRlNS2X/Jf//rX\n3H///Tz33HNNtnonJCRQVWX+LyNQLaBAzdzbOhYhhOjqStz19I110ssZwxlPZDNqn5aZf5MjkVFr\nS3eCw7Vuznrqw95IYIvmzk976rN/K8HXGGut3Y4emFWTQC2K1q1bx/Tp0wGYPn06kyZNavO9rr/+\nehYtWsQNN9xAYmIiR44cAeDGG29k+fLlTJo0iQMHDvi99v777+eVV15h6tSppKamtripQQghuruq\n+gaqGxrIcDlJdTojvkZtW1kVCTGKi5PCD5T6xIbenaCoPLzWUb4GxcfSyxkTnUCt1kNcjKJ3K2v5\nxli7Z3viOjUVrYrM7W3ChAn6k08+aXJs9+7dXHzxxR00IhEO+dkJIaLlSE0d4z/cxZMjB/E/R0+R\n4XLy8tjILY+ZtXUfMQr+b9zwsO91vNbN2M1FLB8xkNwgm7s/8WUxTx4sZv+00SS1sJMyFLM/3Udd\ng+Yv40dE5H62e3Z9xZazFXwyOavVcydv2cUlyQk8n31hRMfQUZRSW7XWE1o7TzJqQgghehR7GjHd\n5SDd5YzoGjV3g+bziqqwy3LY7H6fp0PJqFVUc1FiXMSCNDDZuV0VNdRHOLlzos5N/yBbXI1JSWR7\nmUx9CiGEEN2avcvTTH06KI3gGrVdldXUNOiIrE8DU+i1d4j9PiPROspXVnIC1Q0NfNmG4rstOV7n\nCSlQO1LrDilo7Q4kUBNCCNGj2MVu02OdpEU4o7atcSNB5DZr9XE5ORVkoHbW7eEfNXURW59ma9xQ\nEOE1Yidq3fQLsmn92B66oUACNSGEED1KSePUp5M0l4OznvqITel9WlZJH5eTgUEGH8HIiHUGnUXa\nVVkDEPGM2oikeJwKdkVwQ0FtQwNnPPX0C7LcxuhkO1DrWRsKJFATQgjRo5yu8xAD9HY6SHM50cBZ\nT2Syap+WVTGuV2KTMkrhynA5g5763BnhHZ+2uJgYRiTGR3Tnp11DLdipz94uJ5kJseyokIyaiJCR\nI0dSUlJCRkYGR48e5aqrruroIQkhRI9X4vaQ6nLgUIo0qyxEJPp9nnV72FdVG7H1abY+sc6gy3Ns\nLCljcHxs0NOJochKiWwrqRNWV4JgM2rQMzsUSKAWRX369GHr1q2cPXuWoqIihgwZ0tFDEkKIHu+0\n29NYSDbN+jMS69S2W9msSK5PA5NRO+Mx/T5bcsbtofBMObMi1JHAV3ZyAsfrPJy0itSG64QVfIYS\nVI5NSeRwjTvibb86sx7Th2Ht2rUUFxdH9J4DBgzg2muvDfj4kCFD2LRpE1OnTmXTpk1kZGQwc+ZM\nKisrGTZsGKtWrQJMQ/bLL7+cHTt2sG7duoiOUQghRFMl7vrGQC3V5bCOhf/B/2lZJXBu0XukZLic\n1Gso9dQ3luvwZ+2ps3g0zOobnUDNXvdWVFFNTnr4GbtzXQlCCdTObSjISe8V9hi6AsmoRVFmZiYF\nBQXMmDGDgoICRo0axb333su7777LwYMHOX78OGDaOk2ePFmCNCGEaAclbk9jwGP/WRqBNWrbyqoY\nnhhH7xaCqbbICLI7wZoTpQyKj414oGiL9M7P43VuFGZXa7B64oaCHpNRaynzFS1DhgzhiSee4Mkn\nn+SRRx4hNzeX5557jlWrVlFSUkJ1tbXoMzubOXPmtPv4hBCiJypxe5hgTU9Gao2a1pptZVVMz0gJ\ne3y++gTR79Oe9vzuwH4R3cjgLc3l5II4V8TWqZ2o9dAn1okzJvjx2hsKetI6NcmoRVFmZib9+vUj\nKyuL+vp63nvvPebOncsf//jHJg3Rk5OTO3CUQgjRc2itrYyaCdB6OR04VPhr1A7V1HHK7Yn4+jQ4\nl1FrqURH47RnlNan2bJTEiK28/NEnTukjQS2MSmJPSqjJoFaFA0ZMoSLLrqIxMREBg4cyJ133smy\nZcsaG7XbjdWFEEK0j/L6Bjz63JSnUqbyf7gZtU+tDM9lEd7xCTSup2spo2ZPe14apWlPW1ZyAgeq\naqmqbwj7Xsfr3PQLYX2abUxyAodq6nrMhoIeM/XZEUaNGsWmTZsAOHToEAA7d+5sdl5+fn57DksI\nIXosOyuV7pXJSXc5ORPmGrVtZVXExyguSYp8oGRn/wKtUWuPaU9bdnICDcAXldVhZw9P1Hm4uA3v\n19gUEwz3lA0FklETQgjRY3j3+bSlOZ3hZ9TKqhidnIgrhPVWwYqNiWmx32deO017QtOdn+Fo0JqT\nbZz6HJ3SszYUSKAmhBCixzjt1T7KlupyUBrGGjV3g+bz8qqIF7r11lJ3gvaa9gQYFB9LiiOGooqa\nsO5T4q7Ho0OroWZLdTkZEt9zNhRIoCaEEKLHONfn09F4LM3lCGu90xeV1VQ36KisT7MF6k5Q6vZQ\neKaC6/v2jvq0J0CMUmQlJ1AUZjbrRBtqqHnrSRsKJFATQgjRY5RYmbMmU59hrlHbVha9jQS2QBm1\nvFNncWvdLtOetqzkBIoqq1vtlNCS47V2oNa2pfJjU3rOhgIJ1IQQQvQYJW4PsUqR5Dj38ZfmdFBV\n30BtQ9t2Mm4rqyLD5WRwfGykhtlMoEDtzydKGRjv4rKU6AWJvrJSEqiqb+BgdV2b79GW9lHe7A0F\nn/eArJoEalGUm5vL+++/D8Bjjz3G6tWrKS4uZvny5a1em5+fz8GDB6M8QiGE6FlOW10JvKcJ7X6f\nbV2n9mmZWZ8WzanHjFgnJe6m/T7tac9ZfVPbZdrTlm13KAhjQ4E99dmW8hzgvaGg+69Tk0CtnQ0Y\nMIDFixe3ep4EakIIEXklbg8ZsY4mx+xArS3TaBWeevZV1UR12hNMdwK736etI6Y9AUYkxuNU4e38\nPF7nJsURQ6KjbWFIT9pQ0GF11JRS/YE/aa2/ppRyAW8A6cDzWusX/B0L5/n27n2U8ordYY/bW0ry\nxYwY8XBI1xw8eJAlS5awevVqAE6cOMHNN9+M2+0mKyuL3/3udyxcuJD33nuPt956i6ysLF566SVK\nSkpYsGABpaWljB8/nhUrVnDw4EEefPBBYmNNun3VqlUsWLCA73//+0yaNInc3FwWLVrEpEmTIvq6\nhRCiqyqpa97Y/FwbqdAzaodq6tDA8MT4SAwvIO/uBPb415w42+7TngDxjhiGJ8aH1fPzeK2nzdk0\n25iUxB4RqHVIRk0plQb8AbCr5d0LbNVaTwHmKqVSAhzrcu69915ycnJ4/vnn/T5eWFjI6NGjef/9\n95k2bRoNDQ2sWrWK3NxcVqxYwUsvvQTA0qVLmTdvHoWFhZw9e5a8vDwA1qxZw/e+9z1WrVoFwPz5\n83nppZeoq6tj9+7dEqQJIYQX74bstjRrB2ipJ/SM2jFrUfyANq61CpZvd4Kzbg8FZ8q5vp2nPW1Z\nyQlhZdRO1rnpFxdermhMSgL/qKkLuwZeZ9dRGbV64Gbg/6zvcwB7PrAAmBDg2HttfcJQM1+R8tRT\nTzF16lQee+wxv49fe+21bNy4kauvvppJkyYRE+M/dt61axeLFi0CYOLEiezevZtRo0YxY8aMJsHY\nVVddxU9/+lP+8pe/cMMNN0T+BQkhRBfmP1Az37clo1Zc1z6BWh8ro2aX6Mg7VYZba27o277Tnrbs\n5AT+dPwMJ+vc9G1DZux4nbtxQ0BbnetQUM0/pXfJXE5QOiSjprUu01qf9TqUBNiNL0uA/gGONaGU\n+q5S6hOl1CcnT56M5pCj5sMPP+T2229n/fr1bNy4kQMHDgCQkJBAVZVJ6WqtycrKYsuWLQBs2bKF\nrKwsoHlD95iYGK6++mp+/OMfc9ttt7XjKxFCiM7N06Ap9dQ3qaEG4a1RKw6zzESwfDNqa06WckGc\nK+pr4wKxOxTsamPh2+N1njbXULP1lA0FnWUzQQVgl1ROxozL37EmtNYrtdYTtNYT+vbt2y4DjbSh\nQ4fyk5/8hMmTJ9OvXz+GDBkCwI033sjy5cuZNGkSBw4c4P777+eVV15h6tSppKamMmPGjID3vOmm\nmxg8eHDjvYQQQsAZjwcNzTJqCTGKuBjVZKF+sIpr3WS4nMQGmA2JFDu4PO32cNbtYVNJObP6dcy0\nJ8AlYbSSqvTUU1XfQN8wg9s0qyRKd1+n1lmasm8FpgJ/AsYCWwIc61LsDQMADz30kN/jF154IQUF\nBc2uHTZsWLPjb7/9dpPvMzMzm9wLYMOGDfzkJz/h8ccfb/vAhRCiG/JX7BZAKdXmfp/FtW4GhLnW\nKhixMTH0csZwqs7T4dOeYDY3nB/nalOgdtyavu0fgeniMSkJ3b5DQWcJ1P4A/FUp9TXgEuBvmGlP\n32OiFV//+tfZunVrRw9DCCE6HX8N2W1pLkeb16iFO4UXrD4uF6fdng6f9rSNTIpnX2XoU5/Hw2wf\n5W1sSiJvnzzLGbencQq7u+nQqU+tdY7151fA1cAHwDe01vX+jnXYQIUQQnR5jX0+/Uy5pbocbcqo\nHa91c16UNxLYMlxOvqyuZVNJOdd34LSnbWhCHAeqa9EhtpKy20eFO/UJPaNDQWdZo4bW+qjW+jXv\nTQb+jgkhhBBt4a8huy29Df0+PQ2ak3WeiEzhBSMj1sGO8uoOn/a0DU2Mo7K+obEdVLBORnDq095Q\n0J3XqXWaQE0IIYSIppI6E4j5biYA2rRG7aTbTQO0W0atj8s8zwVxLsZ18LQnwDCryO/+qtCmP4/X\nuYlVqrHQcDjsDQXdeZ2aBGpCCCF6hNNuD8mOGOL87NBMtdaohTKNd6w2cmutgmF3J+gM055gMmoA\nf6+uDem643Vu+sY6I/YazIYCyaiJNhg5ciQlJSVkZGRw9OhRrrrqqqCv3b59O9u3b4/i6IQQomfx\nV+zWluZy4taaqvqGoO93vJ26EtjsNV1hT3t+8Bv4n2+FPZ4L4lzExygOVIUWqJ2MQPsob2NTEvmq\npo7SbtqhQAK1KOrTpw9bt27l7NmzFBUVhVTXTAI1IYSIrNMtBmpmGq4khHVqdkatvaY+5/RP46mL\nB4c/7bn7bfj7e3D6QFi3iVGKCxPiQg7Ujte56R/BkiZjuvmGgu65l9WPh/cdZmcYfcn8yU5O4NHh\nAwM+PmTIEDZt2sTUqVPZtGkTffv2Ze7cuZw4cYLRo0fzzDPPUF1dzU033URZWRkZGRm8/vrrPPzw\nw7z55psAvPjii2zYsIGqqirmz5/f5FqAnJwcLr/8cnbs2MG6detYsmQJbrebwsJCysrKyMvLY8CA\nARF93UII0RWVuD1+S3OAd2N2D4PiY4O63/E6D07lv9xHNKS7nNw0ID28m9R7oPhz8/c9a+HKe8K6\n3dDEOL4IsTvB8To3l/dOav3EINkbCraXV/G1bthKSjJqUZSZmUlBQQEzZsygoKCA888/n+zsbAoK\nCjh27Bg7duxg165dxMTEUFBQwMKFC6moqGDZsmUsXryYxYsXs2HDBgBWrlzZ7Fow7aQmT57MunXr\nGp93//79FBQUMGfOHDZu3Nghr10IITqbEnd9i1OfAKUh1FIrrjU11GI6wXqxoJ3aCx4rabE3L+zb\nXZQQx1c1tbgbglvbV9fQQIm7PqJTn+kuJ4O68YaCHpNRaynzFS1DhgzhiSee4Mknn+SRRx7h5MmT\nxMbGkp+fT2lpKUeOHGHmzJlkZ2czY8YMhg8fzsyZM/3ea8+ePWzevLnJtWPGjCE7O5s5c+Y0OXf+\n/PkADB48mLq6uqi/TiGE6ApOt5RRa0O/z+Jad7uV5oiYo5+aP0ddbwK16lJIaPuat4sS4/Fo+EdN\nLRdZu0BbcqqxNEdkw4/uvKFAMmpRlJmZSb9+/cjKyqK+vp677rqL++67j/z8fB577DEGDx7MZ599\nxpQpU3jnnXc4c+YMhYWFQPOm7CNHjmx2LTRvyg6QlBS5lLIQQnQH1fUNVNU3NO6c9GXXVgulllpx\nXfsVu42YY9shNhkm3wMNHjiwIazbXWTt/Ax2nVpj+6gI75S9tBtvKJBALYqGDBnCRRddRGJiIgMH\nDuQ73/kOa9euZdq0aTz77LMMGjSIzMxMfvvb33LllVdSXFzMhAkTALj66qt54403mDJlCoWFhdx1\n113NrhVCCBGcM43Fbv0Har2tNWqhfNDbU59dytHtMGAMDLoCEjNgT3jTn40lOoIM1E5Y7aMiOfUJ\n59aptaX3aGfXY6Y+O8KoUaPYtGkTAIcOHQLgtddea3ae9/oyW3p6Ou+++26TY/6uzc/Pb/L9kiVL\nGv+em5sb4oiFEKJ7aqkrAZim58mOmKD7fVbVN3DWU99upTkiwt5IMGEhxDhg+AyzoaDeA462hQPp\nLifpLgcHgqyldi5Qi2z4YQfMJW3o19rZSUZNCCFEt2d/gAfKqIFZpxbsGrX2rqEWEfZGgvMuNd+P\nmFx6tsUAACAASURBVAk1pXD4o7BuOzSEEh3Haz0ooG+EM2rJVka0ol4CNSGEEKLLKWll6hNMiY5g\nM2rFVmZoQFea+jxm1eY83wrULpoOMS6TVQvD0MS4kKY+011OXDGR3Smb7DDhTGUIBYu7CgnUhBBC\ndHunggnUXE5KPcFl1Iq7Ykbt6HZwJUHGMPN9fC/InBJ2mY5hifEU17mpCGIjxvE6N/0jPO0JkOww\nGbXyEDaDdBUSqAkhhOj2Stxmyi0twBo1rMeCzqh1xUDt2HY4b4xZn2Ybca2ZEg2jS8HQhOB7fp6I\ncPsomytGERejqJCMmhBCCNH1lLjrSXM5cLRQnDbV5WzcHdqa4jo3iY4YUhxd5GPU3khgr0+zjbjG\n/Lm3+aa2YF0Uws7PE3Vu+kW4hpotyRETVFavq+kiv2FdU25uLu+//z4Ajz32GKtXr+7YAQkhRA/V\nUkN2W5rTQamnngbdepX94lo3A2JdqK7SleDUXnBXnVufZku/EPqOgr1tX6eWmRCHAva3EqhprTlR\n54laSZMUh0PWqAkhhBBdUUld64FausuJBs4Gs9aqNrKNxaPO3kjgm1EDk1X7ajPUnG3TrRMcMVwQ\n72p16rPEXY9b66hMfQIkO2O65a7PLvRbFp6fryli19GyiN7zkvN78bNZWUGfX1JSwqxZsygtLWX8\n+PGsWLGCgwcP8uCDDxIba5oAr1q1yu+xkpISFixY0Oq1Qgghmitxexic0HKzdXv92hl3fWNLqUCO\n1boZH8HG4lFnbyToM7z5YyOuhQ9+A/s3QPac5o8H4aKEeA5UtdycvbGGWpQC3GSHg3JP98uo9ZhA\nraPce++99O7dm6+++ory8nJ+85vfcOutt7Jw4ULy8vIYNWoUa9as4Z133mHSpEmN1/keW7p0KfPm\nzQvqWiGEEE2ddnu4tFdii+ekNjZm9wBxAc/TWkdt92LU+NtIYBt0BSSkmXVqbQ3UEuN4vbgSrXXA\n6eATUWofZUtyxHC6G7aQ6kK/ZeEJJfMVSU899RRTp07lscceY+nSpUycOBGAiRMnsnv3bkaNGsWM\nGTOaBVq+x3bt2sWiRYuCulYIIboqd4OmTjeQ5Ai8OzNUWmtK3PUBG7Lb0q2iqSWtTH2WeuqpadBd\np89nQ73ZSDBugf/H7S4F+94x5/oL5loxNDGO8voGTtZ56BfgfTluZdSiFaglOx38o6YuKvfuSLJG\nrR0lJSWxZcsWALZs2UJWlgke/TVW9z2WlZUV9LVCCNFVPf73o1z98V50EAv6g1VR34Bb69Y3E1iP\nt7bz0y7N0b+rBGqBNhJ4GzETqkvgUNu6FFxklehoqZXUidrotI+ypThiqOiGU58SqLWj+++/n1de\neYWpU6eSmprKjBkz2uVaIYToKj44U8Hfq2vZEcHm2sF0JQBIbVyj1nKgZmeGzusqXQmOtrCRwDbs\n6xDjbHPx22BKdJyo85DkiCHJGblsqbdkh0M2E4jQeJfjeOihhwD40Y9+1OSczMzMZmU7/B1LT0/n\n7bffbvU8IYToqmobGvii0ixIX3+qjLEpLa8pC9bpVhqy23o7HcRAq0Vvj0Uro1Z5CpL6RPaeYNan\nBdpIYIvvDUOuNIHa1T8P+SkuiI8lLkaxv4UNBWZdX/SC2yRnDBX1DTRoTUxXKZsSBMmoCSGE6BR2\nV9Tg1hqngndOt61UhD92Q/bW1qjFKEWqy8GZVtao2Q3ZIxp0fPEXeGJ4WB0CAjq6HQaMbn3t2Yhr\n4eQXUPJlyE/hUIrMhLgWS3Qcr3VHbdoTzrWRqupmtdQkUBNCCNEp7CivAmDegAx2lFc3rgUL12lr\nt2FGEEFCqrP17gTHat2kuxzER7IrwSerQDfAiV2RuydYGwl2tLw+zTZypvmzjV0KhrXSnL2ljQaR\nYDdm725tpCRQE0II0SnsKK8m1engOwPN9N+7pyNT+zLYNWpgaqmVtjL1GfEpvLJjcGCD+fuZryJ3\nXzi3kaCl9Wm29KHQZ0SbuxQMTYjjYHUdngb/G0GiXdIkxVr71t3WqUmgJoQQolPYUV7FmJQERiXF\nMzDexTunIjP9WeL24FKqMePSkrQg+n0eq3VHthn7jldNNi3GBWcORu6+cG4jQTAZNTC7Pw9+ADWh\nB8lDE+Nwa80hPyUyKuvrqahviFpXAjB11IBuV/RWAjUhhBAdrrahgd2VNYxJSUQpxYyM3hSeKac6\nAtNYps+nI6i+nKlOByWeVnZ91noiF6hpDZ/9EQZNhH6joDTCGbVj28GVaDJlwRh5LTS44cDGkJ9q\nWGI84L9Ex0lr+jmagZq9Rq1SMmoiFA8//DBXXnkls2fPpqKiIiL3zM3N5eDBgxG5lxBCdAZfVJqN\nBGOsnZ5XZ/SiukHz/pnysO9d4q4PatoTzPRoS1Of9Vpzos40ZI+Io9vMAv5L/wXSMiM/9Xl0OwwI\n0JHAn4FXQHxqm8p0DLVrqfnZ+dm4ASOK/VGTndYaNcmoiWBt3ryZwsJCPvjgA2bMmMHKlSs7ekhC\nCNEp2RsJxqYkAHBlWjKJjhjWR2CdmsmoBRcgpLkcVNQ3UNfg/8P+ZJ2HBohcRm37y+CMh6zZkDrE\nZNQiVew3lI0ENoezaZeCEKS7HKQ6HRzws6HgeJTbRwGkOLrnGrWeU0dt7WLTQiOSBoyGa5cHfHjd\nunVcd911KKW45ppr+Pzzz7nllls4evQoAwcOZNWqVUyePJl+/foRGxtLcXExCxcuZPbs2eTm5nL2\n7FlmzZrF/fffz5dffsmtt95KYmIiZWXmH64FCxbw/e9/n0mTJpGbm8uiRYuknZQQokv6rMxsJBgc\nbxqnx8XEkJOWwvrTZS32jwzGabeHS5ITgjo3rbHfZz394prnMuydqBEJ1Nw18Pmf4OJZpo5ZWiZ4\naqDiOKQMCP/+p/YFv5HA28iZ8PlrcPgTGDwx6MuUUvz/7J15eFTl9cc/dyb7vhAISSAhQNjCDrJZ\nGrAgiiuKxaqIWtRibbVVpPprpRYQbLW4VQsKWK1arYKiAio2EAUEMSGsYQ1LVrKRPTPJvL8/7tzJ\nTGYmmSSTlffzPDxD7vLe9wKak3PO93z7O1F+aobsEW1Z+vSQqk9JM8nLyyMsLAyA+Ph4zp8/T2Ji\nIjt27GDgwIGsW7eOyspKPvzwQ9LT03n33Xf5/vvvefbZZ/n5z3/Orl272LRpE4WFhTz33HMsXryY\nrVu3UlamlgLmz5/Pv//9bwwGA0ePHpVBmkQi6bJoQgLrgGxGjyByaowcaqVLQXMyaiFm5aCzWWpu\nDdSOb4HqEhh5u/p1aJz66a7yZ04zhQQa/TWXguarP+P9vB32qOXXGPFQmh463Bo0f9iyJubgdTUu\nn4xaI5mvtiIoKMjSl7Z3714ef/xxNm/eDMDEiRPZsmULvXr1IiAggNjYWPR6PUIIMjIy2L17Nxs2\nbKCiooLs7GzOnDnDyJEj8fDwYNQo9T+6adOm8cQTT/D5559zww03tPv7SSQSiTvQhAQP9ImwOf6z\n8CAU4MuCUoa30KWgTgiKjXUuBwhhTfh95pozQ27pUUt7DwKjID5J/TokVv0szmxWJssp2c0UEmj4\nhkDsFEj/AKY+Dl7+Lt/a39ebD3OLqaits7GKyjPU0tPLs00dA3x1CjqgQmbUJK4yZcoUvvrqKwB2\n7NjBypUrHRqrN2TQoEGsXLmS5ORklixZQlhYGH379uXw4cPU1dVx8KBawtXpdMyYMYPHHnuMO++8\ns31eSiKRSNxMQyGBRoSXJ6OD/FrlUlBirEPg2gw1UHvUoJFArcaIXoEerZ0HVpYLJ7+GkfPqG/1D\n+po37aaMWnaqa44EjkhaAqVZkPJ8s26LNys/zzTIquUbjG2q+AS19Brgoet2PWoyUGtDbrjhBuLj\n45k8eTIpKSksWLCAw4cPM3XqVE6cOMGCBQsc3rdkyRL+9re/MWXKFLZu3UqvXr1YvHgxy5YtY8aM\nGXh5eVmunTt3Ln379iU2Nrad3koikUjcS0MhgTUzw4M4UFZlUQ02F23YbVP2URohloya89JnTy9P\n9K3NDKV/AKJOVXtqePpAYG/3lD41IUFz+9M0YifDiHnw3UtQcNLl2waYzdlPNuhTa2v7KI1Avb7b\nqT4vn9JnB6AoCi+//LLNsffee8/m6+TkZJtPzWT9888/t7luwIABlmycxvbt21m8eDHLly9336Yl\nEomkndEcCTQhgTUzewSz8kwuXxeWckdUeLPXbo4rAUCYCz1qrS57CqGqPWPG2xulh8S6Z+itJiRo\nbn+aNTOegYwvYMtiuPMjcCE4jTOP6Gjo+ZlvqGVssOsl1Jbir9fLjJqk83DVVVexf/9+Zs2a1dFb\nkUgkkhZzoKyS4Q2EBBpD/H2I9vZscfmz0JJRc63856fX4aUojfaotVpIkJMGF4/aZtM0QmPdU/rU\nhAQtzagBBPaCaU+q9lbHPnPpFj+9jmhvTxvlZ61JUGisbZeMWoCHrttl1GSgJpFIJJIOw2Aycay8\n2q4/TUNRFGb0CGZnUXnzXAouZUFFAUXmEqarGTVFUQjx1DsN1PJqjPRqbaCW9i7ovWHYHPtzoXFq\nb1itvQ1Ts8hOAw/f5gsJGjJ+IfQcBlv/AIZKl27p7+dtU/q8aDQiaFtXAo0AvexRk0gkEonEbRyr\nqMYgBCMc9KdpzAwPospk4ruSZri7vPdz+MdEiopzgPr5aK4Q6ulBiYPSZ1WdieLaOnq3JuCorYGD\nH8KQ61R1ZUNCYlXfz0vnW/4MUDNqkcPVAbatQe8B1/5V3Y+LwoJ4Px9OV1UjzIN789th2K1GgF4v\n56hJJBKJROIuDliEBM7Hb0wOUV0KXDZprymD3ENQcZHC9I/x04GvC4bsGqEeektvmzXa0NZW2SAd\n3wpVxY7LnqCWPqF15U9THeSkQ9Tolq9hTdwUGPFz2PUSFJ5q8vL+vt6U1pooMP8ZakKQnm1oH6Uh\nVZ8SiUQikbiR9LIqgj30xGpCgooCuJhhc42PXsdPQwP52uxS0CS5BwEBM5dR5BlMWFU+5B9zeU+h\nnh4OVZ855oCjt7e96MFl0t5VlZ3x05w8PE79bI3ys/AkGCtaJyRoyIxn1HLtlieatLjq76d5fqrl\nz3bPqMkeNYmrLFiwgNtuuw2AefPmOR3H4Yi0tDTS0tLaaGcSiUTSOTjQ0JFg+zOw/lq7YGBGjyCy\na4wcdsWlINv8/87hcymKm05YbRm8db1dAOiMUE+9Q2P23NYai5fnw4mv1OyUs9lmgb1B59k65We2\nG4QEDQmMhGl/gJNfqUrQRtACNU1QoGXUItpDTGDuUXMpoO8iyECtjTlw4IDNp6vIQE0ikXR3HAoJ\nCk5AZYFdie1nYUEAfOmKSXtOGgREQmAkhXgT3mugOlpiw3UuBWuhnh4U19bafbPXArUW96g5mp3W\nEJ0eQvq0rvSZneoeIUFDrrgfeg5VvbMbERbE+HjhpSgWK6l8g5EwTz1eurYPOQI89NQKqDF1n0Dt\nspmjtmrvKo4VuZ76doXBYYN54oonGr3Gy8uLwsJCPD09EULw/vvvM2/ePJYuXcrgwYO58cYbmTt3\nLqWlpYSHh/Phhx/yxz/+kY0bNwLw9ttvs337diorK5k/fz75+fkMHz6cV199FYCkpCTGjx9Peno6\n27Zt4+mnn2bIkCE2z5g3b55b31sikUjcgUMhgRagZO2HHgMsh3t6ezI60I+vCkr5XVwThuXZaZay\nX5GxlgHBwXD3Z/DWdWqwtuAziBjk9PZQDz01JkGlyWTxjwR1NIevTiHIowWT/oWAtH9D9LhGn61u\nIK51pU93CQkaoveEa/8GG66Fb/8O059yfJmiEOfrzanKakAtfbaH4hPAX19vzO7TjL7Ezkz3eItO\nzMiRI/nPf/7DyJEjMZlMvPvuuwBs27aNG2+8kSNHjqDT6di5cyf33HMP5eXlPPvssyxZsoQlS5aw\nfft2ANasWUNiYiI7d+4kJyeH9PR0QLWimjRpEtu2bQNUo/aGz5BIJJLOSHqZWsa0CAlqa6A0W/19\n1g9218/sEURqWSX5jbkU1JRDwXFL2c9iyB6RoAZrYM6sHXe6RKgTdwJtNIejeW9NknMA8o80nk3T\naM3QW4uQwI1lT2vipsDwufDdi1B02ull/f28LT1qeYb2cSUACDQH0RXdSFBw2WTUmsp8tRVjxoxh\nw4YN3H777Rw4cICysjKSk5NJTEzE19eXMWPGkJiYyMyZMxk4cKDT4bUZGRns2rWL5ORkSkpKyMrK\nYsSIESQmJjJnTv0snv79+9s9QyKRSDoj6WWVtkKCkvOAuWR1wT5QmxEexCqzS8EvnLkU5Kara0SN\nosZkorzOVG/IHpGgZtM2XAcbZsOCz9VjDdD8PkuMtcRYuSXktMaV4MB7ajN+ooPZaXYbiIWqIlW9\n6h3YvOdoQgJ39qc1ZMZfIGOrKiz4xQcOHQvi/bz5urCUOiHINxiJDw5ou/1YEWDOopU5cZboisiM\nWhszZswY9u3bx5gxYwBVVHDvvfcyf/58QO1dmzJlCl9++SXFxcWkpKQA4OvrS2Wl2gMghGDQoEE8\n8sgjJCcns2zZMvr2Vc17AwLs//E3fIZEIpF0Rg6UVTI8wEpIUJKpfsZcoSo3jdU21w8L8CXa25Ov\nGutTs2qkL3Y07DZikBqsgVoKdeBj6TSj5syV4Ohm+GFd47/SP4DB14JvqPO9WzYQp362pPypvX9b\nZdQAgnqrpu0nvlTf3QH9/bwxCsG5KgP5NbWtHxLsIgHmUnV3mqUmA7U2Ji4ujoSEBItp+q233oqi\nKFx55ZWW8y+99BKTJ08mNzeXcePGATBjxgw+/vhjpkyZQkpKCgsXLmTLli1MnTqV119/nT59+jh9\nZsNnSCQSSWfDYDJxtKGQQAtMEm8BkxHyDtncoygKPwsPIrmojGpn34g1IUFQ73pD9oZlt4hBcPdm\ntdS6/c92S4SYy2dFtfWz1IQQqs9nw4Aj9yD850747NHGf1UVwdh7XPiTQS19QsvKnzlp4OEDPZro\ng2stEx6AXonw4QL4Zpmdk0J/s+fnj6UVGISgVzuVPgOsetS6C5dN6bMj0AzWMzJUldHjjz/ONddc\nw5NPPmn5CTIkJMTSX2ZNWFgYX3/9tc2xDz74wO46zcxd4/Dhw9xzzz02z5BIJJLOhkMhQXGmWh4c\nPBu2PqGWP2PG2dw3o0cwb2UX8l1JOVeFB9kvbCUkKDQ0YsjeczAMuwkO/lcN2Dy8Lae0661HdJTW\n1lFlEvalz4wtgAKL9jh2GtDQe4FfmPPz1mgZtZYoP7PbSEjQEL2nmpnc+iTs/Csc+wJu+oflzz7e\nPKJjd0kF0D72UaCqPgHKu1HpUwZq7ciwYcPYu3dvl3+GRCKRtBY7IQGogUlIH/VXYG+HgoIrQwLw\n1en4qrDUPlDThATDbgbqDdmd+nwmXAP7N8DZ76D/dMvhEHOPmrXfZ47ZlcAuo3Z8qxpM9hzc5Du7\njG8oeAc1v/RpMqk9eiNvd99eGsM3FG5+DYbeCJt/C2unw09+D1Mfp4enJ8Eeenabbb/aLVAzZ9Qq\nulFGTZY+JRKJRNLupJdVEuShI87Xasp/8dn6bFL0WHVERwN89DqmhwfySV6xfdZEcySwGs0B1IsJ\nGtJvqlomzNhqc9hbp8NPr7PpUcurUdeyCdTK8tQ9Jlzd9As3B0VpmfKz8CQYyt1nHeUqg2bBQ3tg\nxG2w8zlYk4SSc4B4X2/LLLVW2W41Ay2jJsUEbkZRlFBFUb5QFOUHRVH+aT72pqIouxVF+b+O3p9E\nIpFI3MuBskpGBPjZtmgUZ9b3Z8WMU8c/VBbZ3ftQ354U19axLqvA9kSO7UT+InOgFerhJEjw8oP4\nJDUr1mC4baiHnmKrHjVt2K1NoHbC3LaScI3T92wxobHNL31mp6qfbSkkcIZvKNz8Otz+PlQWwhtX\n0b/shOV0e9hHge0cte5CpwjUgLuAfwshxgGBiqIsBvRCiElAvKIoAzt2exKJRCJxFw6FBNWXoLqk\n3pQ8eqz66SCrNibIn6vCgnj9fL5tVi07DQJ6qapE1IxaiIceD10j/boJV6sB0UXbgehhDfw+LfZR\n1gHH8W0Q3Ad6DXPhrZuJNvS2OVZIOWlmR4I2FhI0xqBrYNFuSLyV/me2AOCr1AdQbY1eUfDVdS9j\n9s4SqBUCiYqihAB9gH6A1jn/JeBQvqgoyv3mLNwPFy9ebJ+dSiQSiaRVZDgUEpizR1rpM2o0oDic\npwbw+369KDLWsd46q5aTZjM/rNBYS7iz/jSNBPPsyowtNodDPPU2PWq5BiMhHnp8tYDDWA2nvlED\nvbYQboXEQm2V6g/qKtlpEJnY9kKCpvALgzn/JH60OjOul7G4XcVtgR462aPWBnwLxAK/AY4CXkCW\n+VwR0MvRTUKINUKIcUKIcREREe2y0eawYMECRo8ezaRJk5g7dy5GYyPTtCUSieQywaGQQOvH0kqf\n3oHQc4jDjBqoWbXpYYG8pmXVDBWqkMCq7GdxJWiMoCjoPVLNjlkR6iCjZlP2zEwBY2XblD2hPrPo\navlTExK05aDbZtJ/wEQAelVcUDOm7USAXi971NqAp4EHhRDPAMeAXwDaj1oBdJ59NpuXX36Z3bt3\nExAQYDduQyKRSC5HDjgSEmgBiRagQL2gwEn577G4yPqsWu5BECabQKXIWEuYlwu+nAmz4MJeqCi0\nHHLUo2YzmuP4VvD0h7g2mlfZ3KG3FiFB5wnU+plHdEQYCu0ylm1JgF7XrXrUOst4jlBguKIoe4AJ\nwErUcuceYCSQ0doH5K5YQc1R95qyew8ZTOSTTzZ5nRCC8vJyKisruf766ykpKWHs2LGsXr2a+Ph4\noqKiiI6OJiMjgxUrVtCnTx/uu+8+PD09ueOOO1i0aBFJSUnMnj2bjRs30qNHDz755BNOnz7N/fff\nT1lZGdOmTWPVqlUcP36cBx54gMrKSh566CHpTiCRSDod6WVVDLcTEpwFn2Dbyf3RYyH1bVVUEN7f\nbp0xwfVZtXv1B/AHG8VjkbGOEYEufJtLmAU7VqmT9kepoy3CPD0oMdZhEgKdopBrMDLI30e9XghV\nKdp/Gnj6tOBPwAVCVPcZl5WfDYQUnQF/vZ4pIf5cceEcHN4DI+e1z3M9dN1qjlpnyVQ9C6wBLgFh\nwN+BuxRFeQG4Dfi8A/fWKh5++GHi4uLo1asXu3btYt68eaSkpHDp0iW2bt2KEIK33nqLvLw8nn/+\nefbt20deXh7r1q3j008/Zf369Za1/P392bVrF+Xl5eTk5PD444+zbNky9u7di8lkory8nMWLF/P0\n00+TkpLCqlWrEM1pRJVIJJI2xmAycbSiyrY/DWwVnxrasFsn5U+oz6qtKzLZCAmEEK6VPkENbgIi\n1SyZmRBPPSbUQbeaX6Wl9Jl3CEov1Pe3tQWevur7aLZaTZFtdiSIcOM8Nzfw0eiB3B/hA6e2t1v5\nM0Cv71Y9ap0ioyaE2AvYyGYURUkCZgDPCSFa/bfrSuarLXj55Zf59ttv8fb25quvvuJXv/oVABMm\nTODo0aPExsai1+uJi4tDr9cjhEAIweLFi+nRowe1Vqn3u+++G4C+fftiMBg4duwY48ePB2DVqlXo\ndDoyMjJ4+umnURSFuro6SkpKCA11wVtOIpFI2oGMimpqTMK2Pw3U0mdEA7VixBDw9FMDtRG3OVxv\nTLA/08ICea12OPdGjVezakBlnYkak3AtUNPpIGEmHNqoWiF5eFn8Pktq66gxCeoE9X6VWkA3cKaL\nb91CNOWnK+SkqZZOHS0kcMSwm2DPq2oWcuTP2/xxgR56TlZWN31hF6GzZNTsEEIUCyE+EELkdvRe\nWssDDzzAm2++ybBhw9izZw8Ae/bsYdgwx5LuZ555hrVr1/Lcc89RZyUx9vf3t7lu8ODB/PCDqoi6\n+uqrOXHiBIMGDWLDhg0kJyfz61//Gi8vLyQSiaSzoAkJbEZzmExQcq6+L0tD76GWMp0oPzUeiwmm\nyCOAdb2vtxwr0Hw+nQ27bUjCNWAoU10KUHvUQO1zyzW7EvTWetQytqpl2UCHOjf3ERLrWqBmMkFO\neqfqT7MhehwERcORTe3yuAC9jrLa7pNR67SBWnciNDSU6dOnM378eN5//32uvPJKQkJCmDnT8U9j\nc+bM4dprr+W+++7DaDRSXe34J4PnnnuOP/zhD1x55ZVMnjyZgQMHsnLlShYuXMjEiRM5c+aMXXAn\nkUgkHYlDIUF5HtRW25c+AaLHqGrG2hqna46tOMm0ou95TTeQCnNvkjbs1qWMGqiDbz18LOpPLaNW\nbKwjT5uh5u2pjsvI2t92ak9rQmPVEmtdExMDik6pQWYn6k+zQadTbaZOft0u5U9/vY6KbjRHrRPm\nSLsPmik7wEsvvQTAbbfZpu81U3Xt2qSkJAAeffRRh9c1XPd///ufzXWDBw+W6lKJRNJp0YQEOmsh\nQUmDGWrWRI+Dupch9xDEjHW8aHYaj2W+xeywCazPKuDXsb0s9lFNzlHT8PJTLaWOb4FZzxJqzsSV\nGGstCsLe3p5w5EtAuN82yhGhcaqS9dIFCOvn/Lpss5Cgva2jmsPQm2DPP9ql/Bmg11NlEtSaROPD\njrsIMqMmkUgkknbBaBJOhASNBGouCArISWOsqYBpoYH843w+FbV1Vj6fzchHJMxSRQ0Fx+szarV1\n5NYY0QE9PD3UMRNB0RA53PV1W4qWYWxK+Zmd2imFBDbEjIfAqHYpfwZ4aMbs3SOrJgM1iUQikbQL\nGRVVjoUEWiAS3Mf+pqBoVZGZ1UifWnYaRI3i9/3q56o1acjuCC1LlrGFYA89CvU9aj29PPGoq4FT\n/2s7N4KGuDr0tjMLCTR0OlVUcHI7VJe26aMC9erfeXeZpSYDNYlEIpG0Cw6FBKAGIoG9Hc8kUxS1\ncd+ZoMBQAQUZ0HsU44L9STJn1S5UG/BQIMijGYFacIyaKTu+Fb2iEOyhp8SoZtR6eXvA2W/BfGTb\nuQAAIABJREFUWNE+/WmgBqk6j8YFBZ1dSGDN0JugrsZmDEpb4G/OqJXJjJpEIpFIJK6TUVGNr66B\nkADUQMRR2VMjZqzaMF9ZZH8u95Dax2UOVLSs2r9zigjz9Gi+x2TCNXD+e6gsItTs92mxj8rYqo4L\n6Te1eWu2FJ1ezTI2llHr7EICa7Ty5+G2LX8GmDNqFd1E+SkDNYlEIpG0C2era+jr62UrJADHw26t\niTb3qWX/aH8ux7aRfrw5q1ZZZ2pef5pGwiw18DvxFSEeqt9nnsFsH3V8q6oObSs3AkeExjbeo2YR\nEnSBQM1G/dl25c8AvRrayNKnpEmWLl3KkCFDSEpKIikpiVdeeaXVaz7yyCNu2JlEIpG0P+eqDPT1\naZBNqzVAaZatx2dDokYDClxwICjITgP/nmrp1Mzv+0UCzRQSWD8roBcc30Kop55cg5EiYx2RxmK4\ndL5t3Qgc0dTQ25w00Ht3biGBNcPavvwZ6KH1qHWP0mcn7jzsHjz11FPceeedbltv9erVbltLIpFI\n2gshBOeqDUwODbA9cek8IBovffoEqa4FjgQF2alqNskqSzc+2J87e4fbl1hdQadTHQeOfELY0KdJ\nKVbnt0UWHFTPt8dYDmtCYqGyAGrKwTvA/nx2GkQmgt7T/lxnJOaK+vKnE7eJ1uJvzqiVdRO/z8sm\nUEv54DgF58vdumaPPgH85LYEl6+vqalhwYIFZGdnExMTw/r16/Hy8iIpKYnx48eTnp7Otm3bqKys\nZP78+eTn5zN8+HBeffVVyxpJSUmWmWpVVVXMmTOHoqIi+vfvT2JiIgaDAaPRSEpKCqWlpWzdupXI\nyEi3vrdEIpE0lyJjHeV1JvuMmlbWa6z0CWr5M+ML1RBdC8o0IcGQ6+0u/9tgBwpSV0mYBalvE1qV\nj1F4AxCZ9Z2abQts5/+fWis/ezVwszGZIOdAmwU8bYJW/vxhnVr+9Aly+yMCpOpT0hyWL19OUlIS\nixYtYu3atSQmJrJjxw4GDhzIunXrANVOatKkSWzbpk7EXrNmDYmJiezcuZOcnBzS09Mdrn3s2DFi\nYmL49ttvOXnyJE+a/UxPnjzJzp07mTNnDt988037vKhEIpE0wrlqAwB9fbxtT1iG3TYRqMWMhaoi\n236tBkICt9F/Gui9CSk+bjkUmb27/dSe1miZRkflz6LTqpCgK/SnWWMpf25rk+Utc9S6iZjgssmo\nNSfz5U6sS5+LFi1izpw5AEycOJEtW7YAkJiYaDkOkJGRwa5du0hOTqakpISsrCxGjBhht3Z0dDT7\n9+9n6tSp/Pa3v7Ucnz9/PlBv3i6RSCQdzblqtYQY60jxqfey6TFzSLTV4FttSr8mJHC34tHLH/pN\nJTQvDaLVwbaRNRdhUDv3pwGExKmfjpSfbfX+bY1W/jyyCUbMdfvy3jodnorSbXrUZEatHXFmyh4Q\nYNt3MGjQIB555BGSk5NZtmwZffv2dbje1q1b+eMf/8ju3bu54447LMelv6dEIulsnKvSMmoOSp/B\nfdRRFI3Rcyh4+NrOU8tOA/8ICIpy72YBEq4m7NJpALxFLSG+gRBp/wNzm+MXBl4BjpWf2amqkKDn\nkHbfVqvQ6WDoDXDiqzZTfwZ66GTpU9J8fvnLX3L48GGmTp3KiRMnWLBggcPrFi5cyJYtW5g6dSqv\nv/46ffo47rUYPXo0Dz/8MNOnT2fevHkcOnSoDXcvkUgkLedctYEwTz3+DQfQlpxtuuwJ6tT9qFG2\ngoKcNDWb1BYuAQmzCKlVg4jImoso7eVG0BBFca787GpCAmuGtm3501+vl2ICSdMsXbrU5mtvb2/e\ne+89u+usDddBzYh98MEHDte0vnbPnj0kJCTg6elJeXk5BQUFNs90FghKJBJJe3OuykBsw/40UAMQ\nV83Eo8fC3rXqSA9TLVw8BoNnu3ejGiF9CA2MAMxlzyEdUPa07CUWis/YHuuKQgJr+kxQy91tVP4M\n0Ouo6CYZNRmodWEWLlzIwoULO3obEolE0iRnq2vsPT6rS1WBQFOKT42YcbD7Fcg7pAZqwtSm/Vmh\nsWpfXKShCOLdH0w0YyNw+n+2iteuKiTQsKg/10NNGXgHunX5AL1e9qhJJBKJROIKdUKQVW20709z\nVfGpYS0osEzkdzEb1wJCByQBEOnrB56+bfacJgmJBWMlVBTUH+uqQgJr2rD8GeCho7ybqD5loCaR\nSCSSNiWnxohRCPo6UnxC48NurQmOUV0ILvygBiptJSQwExAzmnnVh7k6voOn/mt/PtbKz64qJLBG\nK38e3uj2pbtTRk2WPiUSiUTSppytMo/maNij5uqwWw1FUcufWfvVkR5tJSTQHqfXs/qaO5q+sK3R\nMo7Fmer7g9qf1mtY1xQSaOh0MOQG+PEtt5c/Ay531aeiKE8oitJoB6OiKN6Korzfsm1JJBKJpLtg\nGXbbMKNWcha8g8A31PXFosdC4Qm4eLTr9mc1lxDziCYtsNWEBN3h/YfdDLXVbi9/Buh1lHcT1WdL\nS5/e5l92KIrSR1EUHVAHXNfSjXUXioqKCAwMpLq62ub40qVL7dSeLSEtLY20tLRWryORSCRtxbkq\nAzog2ttB6TMktnlZMS2j1MZCgk6Fl79a8tVKn8VnoKa0e7x/G5U/A/R6KupMCCHcum5H0GTpU1GU\nFwBPwGj+LAZKAIOiKF8B1YAwn3sW2AL0EUIUKYpS2VYb7yp89dVXVFdXs3PnTmbOnOn29bUgbdSo\nbvAfrEQi6ZacqzYQ5eOJp65BQFacCT0GNm+xqNGAAojukVFyldDY+oxadqr62R3e36b86cR4vgX4\n63WYgEqTCX99E8OUOzmu9Kj9HPgRuArYbv58BagFpgAfAbcCB4EIoAa4ZL631s37bTH/27CG/LOn\n3bpmz9h4pi24v9Frtm7dykMPPcTWrVsZP348c+fOpa6uDiEESUlJLF++nGHDhnHTTTfx7LPPMmDA\nAGbPnm1nyr506VI7s/UXX3yRjRvVn0Lefvtttm/fztKlS0lKSiIpKYkNGzYA6jy15hi/SyQSiTs5\nV2Ww9/gUAkrOwcAZzVvMJxh6JEBlIQRFu2+TnZ2QWLiwT/19TpraoxfRhYUE1gy7Cfb+E45vheG3\numXJQPNg5fLarh+ouVL6vCSEuN7q0/pHohIhxF1AOfCO+VitEKJ7FIbdwO7du/m///s/tm/fzpo1\na7juuuv43//+h6en2gA6d+5ci+fnzp07ufbaa52asjc0W3/22WdZsmQJS5YsYfv27Y3uo6XG7xKJ\nRNJazlXX2I/mKM+H2irXhQTWTPkN/OT3HeMU0FGExsGlC1BXq44m6ZUIHl5N3tYl6DMRAiLV4bdu\nIkCvhjfdQfnZHNVnly70NpX5agvS09MpKCjg1ltvJTMzk+PHj1sM2seNU/ssEhISuHDhAqWlpYSE\nhODv7+/QlB2ab7ZeVVWFr686+6elxu8SiUTSGqrqTOQZah2YsWeqn66O5rBm9J2t3VbXIzQWRB1c\nOq8KCdyUeeoUaN6fP/7LbeXPAC2j1g2Un3KOWhuybds2nnzySZKTk/nNb35DbGwshw8fBrARAFxx\nxRWsXr2aG264AXBuyu7IbN3X15fKSrUVUAiBl5cXFy9eBNSyq0ZLjd8lEomkNZyvdmLG3txht5c7\nWubxdHKnERK8dfgtNp/a7J7Fht5kVn9ubfpaF/DXMmrdQPnZ2kAtRFGUfwEBwJ3Aw0CAoij/Mh+/\nrAPBbdu2MX36dACmT5/Ozp07+eijj0hKSqK0tNRy3dy5c1m9ejXXXaeKZF01ZQeYMWMGH3/8MVOm\nTCElJYUbbriBl19+mQcffJDw8HCn9zXnGRKJRNJS6kdzNJyhZg7UQuQPiS6hZR618mAHCwnqTHW8\nduA1Xj/wunsW7Ove8qfWo9Yd/D7dMfBWC1cFYGpw7LLm66+/tvx+2rRpTJs2zeF1Q4cOpaioyPK1\nI1N2Z2brYWFhNs8BtdetIc0xfpdIJBJ3UT/s1kHpMyCyY62ZuhJB0aDo4UxKpxASnCw5SYWxggpj\nBRfKLhATGNO6BXV6t5Y/tR61MplRo0QIcQ+qmODfwKtAuRDiHvPxrh/KSiQSiaTFnKs24KtTiPBq\nkBcoOSvLns1B76FaaIk61ZGgg4UEqfmplt/vztntnkW18ueJ1g+/DdDLHjWJRCKRSJrkfJWBGB8v\nlIYKTW3YrcR1tPJnJ+hPS81PpYdvD3r59WJ3tpsCtb4TIaAXHG59+bNe9SkDNYlEIpFInHKu2kBs\nw/60OiOUXmiZ4vNyRstAdoJBt2n5aYzuOZrJUZPZk7OHOpMbSow6vTr89sRXYKho1VJ+eh0Kl4+Y\nIFhRlC+AMPMnqLPUFOzFBAA6RVG69nQ5iUQikbQaIQRnqxzMULt0XrWAkqXP5qFlIDs4o5ZXkUd2\nRTajIkYxOWoyZYYyDhceds/iw25S5+u56P0phOB48XFeSX2F+7+8n7yKPAAURSFAr7tsxAT/MV93\nBNUm6gfA1/z774Fw4GvzsYvmz2jgHCADNolEIrlMKamto6zOZB+oWRSfMlBrFom3qKM5Iod36DZS\nL6r9aaN7jiYmMAYFhV3ZuxgR4YZZnH0nqb6mhzdC4hyHlwghOFFygi8zv+TLs19y5tIZy7m0i2lc\n7X81oM5SK7scBt4KIX7X8JiiKE8DnkIIOxmjoiizgGJFUXxQM22XLQsWLCAtLQ0PDw8eeOABFi5c\n2GF72bRpE0lJSYSEhHTYHiQSyeWFNprDrcNuL2fC+sGMZzp6FxzIP4CP3ofB4YPx1HkyJHwIu7N3\n8+DIB1u/uE4PQ2+E1HfU8qeXOj9UCMHJkpNsy9xmCc50io5xvcZx55A7GRExgrmb53Kp5pJlqQC9\njvLayyOj5gg/1IyaHUKIFABzoOY+P4guyiuvvMKQIUMYOXIkEyZM6LDp/5s2bWLUqFEyUJNIJO3G\n2SonM9RKzoLOE4KiOmBXktaSmp9KYo9EPHVqGDA5ajIbDm2g3FBOgJcb8jPDboJ9a9XyZ+Icqmqr\n+OWXvyT9YrolOLtj8B1cFXsVPXx7AGCoU/+tldSUWJbx1+svOwspa/5ME7PShBDVwB0tXN/tlGw+\nhSG7dc2JDfGK8ifk+v5NXhceHs7s2bPZtGkTTz31FCUlJYwdO5bVq1dTUFDAggULKCwsJCEhgfXr\n13PvvfeydOlS4uLiLCbr9957L1FRUURHR5ORkcGKFSsYMGAADzzwAJWVlTz00EPMnz+fpKQkZs+e\nzcaNG+nRoweffPIJ1157LampqRw7dowpU6bw/PPPc/DgQe677z48PT254447WLRoEcnJyXzyySdk\nZmYydOhQli9fzrRp03jnnXeIjo7mqquu4l//+hfR0ZeREbJEImkx58wz1ByWPoNj1OyJpEtRaazk\nWNEx7k2813JsUu9JvHHwDfbl7mNaX8fzQpuFVv48sgkS55Cal0r6xXTuH3E/tw++3RKcWeOl98LX\nw9cmUOsuPWouqz4VRfFSFOVdRVGihRCVQoiaJq6/R1GUCa3fYvcgPDycZ555hnnz5pGSksKlS5fY\nunUrK1as4I477mD37t0MGzaMs2fPOrxfCMFbb71FXl4ezz//PPv27WPx4sU8/fTTpKSksGrVKoRQ\n7Vj9/f3ZtWsX5eXl5OTksGXLFmbNmsX777/P888/D0BeXh7r1q3j008/Zf369ZbnfPDBB/z1r39l\n+fLlANx55528//775Obm4uXlJYM0iUTiMueqDYR66C1T4i0UZ8qyZxflUMEh6kQdo3rWCxpG9RyF\nr4cvu7J3uech2vDb41+CoYLUi6noFB33Jt7rMEjTCPEOsSl9Bnrou4XqszkZNSMwDzilKMpJ4Dxw\nSghhF1koihIF/BXYC1zrjo22FlcyX21JUVERJpOJCRPU2HXChAkcPXqUY8eO8dBDDwHw+OOP291X\nVVUFQGxsLHq9nri4OPR6PUIIMjIyePrpp1EUhbq6OkpK1J8k7r77bqBx83YhBIsXL6ZHjx7U1tZa\njt9+++0MGDDA8vXcuXOZPXs2Xl5eFkN5iUQicYVzVQb6NuxPA7X0OeT69t9QA/703Z8YHzme6/t3\n/F66Ctqg25ERIy3HvPRejOs1jj05e9z3oKE3wb434MSXpOankhCagL+nvd+1NSHeIRRXF1u+9tfr\nKLucMmpCS9eowdoLqErP04qiFCiK8pmiKL9RFCVEUZRw4CvUwO4+t++4C1JSUsKWLVu45ZZb2LNH\n/Ye8Z88ehg0bxuDBg9m3bx8A999/P19//bXFWL2uro6vvvrK6bqDBg1iw4YNJCcn8+tf/xovL/V/\niE2ZtwM888wzrF27lueee446qxp+Q/P2oKAg+vTpw9q1a7n55ptb/ocgkUguO85VG+jr06A/raYM\nKgs7XPFZUFXAxpMb2ZbZ+in4lxOpF1MZEDKAYO9gm+OToiaRWZpJVnmWex4UOxn8e2I6vJGDFw8y\nKqLpkSTB3sG2YgIPPRWXaY/aVUKIc4qieKGO4RgJTAYeBVYABVbX5bhnm12Xhx9+GG9vb1atWsXM\nmTOZP38+r7/+OuPGjWPmzJmMHj2au+++m9dee42EhAR+9rOfodfreeKJJxgwYIBNdqshK1euZOHC\nhZSXlzNlyhSHAZrG/PnzWbhwIUajkR07djBnzhyuvfZaYmJiMBqNVFdXO7331ltvxdvbGz8/v1b9\nWUgkksuHOiG4UG3gmgjbb+iW0RwdXPr8Ie8HAE5fOt2h++hKmISJ9Px0ru53td25yVGTAdidvZtb\nE25t/cN0ejXrmvYOIjqC0T1HN3lLqHco2eXZlq8vC9WnoigDUDNoHwghjlufE0IYgDPAGUVRcoAY\n87XRwDtCiCNts+Wuw4YNG+yOffbZZzZfR0RE8MUXX9gcmz59OtOnT7c5ppmqa2smJSUB2BmyW5uv\nWz9/0qRJfPfdd5avH330UR599FGbe5OSkizrarzzzjv8/e9/Z926dXbvIpFIJM7IrTFiEMLejL1E\nC9Q6NqP2Q64aqGWVZ1FTV4O33ruJOyQnS05SZixzGDTFB8fT06+n+wI1gGE3o/vhTX5SVe1SoBbs\nHWwnJjAIQY3JhLeu6xoxNbXzacDTwFFFUU4BAkhSFOVniqL81iwuuACkAP7ADGAMcIOiKH9oy41L\n2oc777yT/fv3M3LkyKYvlkgkEjPaDDW7HjXLsNu49t1QA37I/QEPnQcmYeJc6bkO3UtXIS0/DYDR\nEfZBk6IoTOo9yX12UgCxkynz8uX66joi/SObvDzEJ4QyQ5nl+QFmEUtXz6o1GqgJIdaiBmDjgVeA\nL4B/AttQ+9SigMVAbyHEjUKI7UKIg6i9aX9WFKXjDckkEolE0u6c02aoNexRK84Er0DwC2v/TZkp\nrCrk1KVTzOg7A5DlT1dJzU8l3CecmMAYh+cnR02m1FDKkUI3FdR0ev4XEMjk8jIUY1WTl4d4hyAQ\nlBpKAWtj9q7dp+ZKLjBKCPEj8COQCvRCDcT2AVOBoUKIQu1iRVEU4ATwGfCS23cskUgkkk7P2eoa\nFCDGp8Fs9JKzatlTUTpkX1Dfn6aV6KwtiCTOSc1PZXTP0ShO/u4m9FanGuzO2e2W5+VW5LLJC7xM\ntXDiyyav1wQOxTWq8jNAr2bUuvostUYDNUVRYoETiqK8DyQBVwshSoF8oBS4CdinKEq2oigvmMdy\nzAW2A8+gZuAkEolEcplxrspAlLcnXg17g4rPdrjic1/uPvw8/BjTawxR/lEyUHOBi5UXySrPspmf\n1pBw33CGhA1x2zy11PxU9vt4U+sbqg6/bYIQb9V5R1N+BniYM2pdfJZaU6XPs6iqzhpU4YFRUZRf\nAB8DO4UQnwLHgBDgJ6iZtL8Bbwoh0oQQK9ty8xKJRCLpnJyvNtCnoZBACHNGLa5D9qTxQ+4PjOk1\nBg+dB/2C+8lAzQW0+WlNNfVPiprEgfwDVBhb7wSUmp+Kt6cfuqE3qnZShspGrw/1DgWgpFoVFASa\nM2rl3Tyjlgj0AdYDJiAQ1Trqr8CP5plpAOVCiPGoJdEYoGN/XOokLF26lCFDhljUlK+88orL9+bm\n5rJypX2c21CVKZFIJJ2Rs1UGYht6fFZcBGNlhyo+tf60cb3GAdAvuB+ZpZmYRNf+Zt7WpOan4q33\nZkjYkEavmxQ1iVpRa1HVtoa0/DRG9BiBLvEW9d/NSedzRaG+9KkpP/3NGbWyLt6j1tQctQeAh6y+\nFsC7gGL+/UuAtTdINnAOVRn6KyHEa27ca5fkqaeeatFE/8jISJYsWdIGO5JIJJK2pbrORK7B6Njj\nEzq09Kn1p42PHA+ogVpVbRV5FXn0DujdYfvq7KTlp6lG7HrPRq8b3XM0PnofdmXv4qd9ftri51UY\nK8gozmDh8IXQdzL4hkLGFhh6o9N77EqfWo9aF1d9NhWoLQaeArxRR2+8jTrQ9i7gO+B3wOOAj6Io\nqwBP4HPU0ugHiqK8I4Qoa6O9N4stW7aQm5vr1jUjIyO55pprXL6+vLycW2+9lYqKCgYMGMD69esZ\nO3YsPXv2xMvLi9zcXO655x4efPBBMjMzWbp0qcNZbBp33303v/rVr5g4cSILFizgwQcfZOLEiW54\nM4lEImk5F2qcjebIVD87sPSp9acNCVczQ/2C+wGq8lMGao6pqq3iWNExFiQuaPJab703YyPHtrpP\nLf1iOiZhUkuteg8YMEMVFJjq1GG4DvD39MdD8bBk1C4L1acQogqYDqQDkahKz5eATcAUIcRfUF0J\njMAU4LfAN0KI7cBh4Fdtt/WuwfLly0lKSmLRokXk5OTw8MMP8/XXX5OZmUleXh6VlZV8+OGHpKen\n8+677/L999+7vPb8+fP597//jcFg4OjRozJIk0gknYKz5tEc9sNuM9XPkL7tuyEr9uftZ3Sv0Xjq\n1MyQFqjJPjXnHCo4RK2odWnoLMCk3qqdVE55y82J0vLTUFAYETFCPTBolmo9dsF5SVVRFJuhtwHd\npEetKWeCHsCbqJkzAA8hxHJFUTyBjxRFmYRa+jQKIa5UFOU61OG3AP9Czcg95+pmFEX5B7BFCLFZ\nUZQ3gaHA50KIZc16Kwc0J/PlTqxLn5mZmbzxxhusX7+eoqIiqqqq6NWrFwEBARbT9XpL1aaZNm0a\nTzzxBJ9//jk33HBDW72CRCKRNIv6YbcNZ6idBf+e4NUxdnSFVYWcLDnJdfHXWY6F+4QT5BUkA7VG\ncGTE3hgWO6mc3cwZOKfFzxwYOpBAr0D1QP+rQOcBx7dA3wlO7wvxDrEEah46BV+d0u0H3hYAg4UQ\nbwGngI3m40tRS589ULNpJ8zHPxNCaI6oXwB/dnUjiqL8BIg0B2lzAL0QYhIQryjKwGa9VSflzTff\n5NZbb+W9995r1JfTVXQ6HTNmzOCxxx5rUR+cRCKRtAXnqmrw1in09GqQCyjO7NCy5/68/UB9fxqo\nWZh+wf3k0NtGSM1PpX9wfzsjdmcMCBlAhG9Ei8ufdaY60gvSbTN4viHQd5Kq/myEEJ8QGxspf72+\ne5c+AYQQF82f3wohlludulEIkSyEOGJWfDa8L1sI8W9XNmHO0K0FMhVFuRF1ZtsH5tNfAle6sk5n\nZ8aMGTz77LMWH8+srKxWrzl37lz69u1LbKwU2kokks7BuWoDfX280DUcjKoNu+0gGvanacgRHc4x\nCRMHLh5odH5aQxRFYVJUy+2kTpScoMJYYf/MQddA/pF6UYoDQrxDLGICUGepdfXSZ4tdSoUQNW7c\nx3zgCGqZ9ApUpakWxRShuiHYoSjK/Yqi/KAoyg8XL15043bcw9KlS20yXVOnTuXQoUOkpKSwa9cu\npkyZYjFRT05OJi4uziIesP69Ndam69u3b2fhwoU88cQTbfgWEolE0jzOVTmYoVZnhEtZHa74HN2z\nvj9NIz44nsLqQptv8BKV0yWnKTM4NmJvjElRk7hUc4ljRcea/UynM9sSZqmfx7c6vde69Alqn1q3\nHnjbjowG1gghcoF3gJ2Ar/lcAE72KYRYI4QYJ4QYFxER0T477URcddVV7N+/n1mzZnX0ViQSicTC\nuWqDfX/apQsg6jqs9Kn1p42LHGd37nIUFLjaD5160bVBtw2Z2FsVt7Wk/Jman0pP355E+UfZngjv\nD+EDGw3UNDGB9n4B+ss4o+ZmTgLx5t+PA+KoL3eOBDLbf0sSiUQiaS4lxlou1dY5UHyay1UdVPp0\n1J+mcTkFakIIlu5ayo2f3OiSKjMtP40wnzD6BPZp1nN6+PZgUOigFvl+puWnMarnKMeeooNmQea3\nUON48leIdwi1plqLM0KAh8youYs3gWmKouwEFqH2qN2lKMoLwG2os9kkEolE0smpV3x2rmG3+3L3\n4evhy9DwoXbnogOi8dR5cqa0+wdqG09u5KMTH3Gu9Bz3bLunyWCtKSP2xpgcNZnU/FQqjY1bP1mT\nW5FLTkWO8wxewjVQZ4BT3zg8rQ29tZ6lJjNqbkAIUSaEmCuEmCqEmGT2GE0C9gDTrJSkEolEIunE\nnDPPULNzJSg5C4oegqI7YFdqf9qYnmPs+tMAPHQexAbFcqakYwO1traxOl58nBXfr2BC7wn865p/\nUVpT2miwVlBVwPmy84yKcCwkaKp8OilqErWmWosbhCuk5acBjZRa+0wAnxCn6k9H7gTdXvXZUQgh\nioUQH5j71iQSiUTSBbBk1OzsozIhpI86Zb6dKaouctqfptEvuF+HZtR2Ze1i+gfTOVRwqE3WrzRW\n8tiOxwj0CmTlT1YyImIEa2auobSmlHu33eswWNOCJmeKz/nr9vLHTc73O6bXGHz0PmzLbHykhs0z\nL6bh6+FLQliC4wv0HjBwhhqoOVCUhvjYZtT8L2fVp6RpKioquPnmm/npT3/KXXfd1eRPH4888kg7\n7UylMdN4V/aSlpZGWlqa3fH2fg+JRNJ5OFtVQ4iHnmDPhjPUznZY2bOx/jSNfsH9uFBc/hF1AAAg\nAElEQVR2AUOdob22ZUEIweofV1NYXciyPctaNNKiqfWX7VnG2dKzrPrJKnr49gAgsUci/5zxTy7V\nXOLebfeSW2GbF0nNT8VL5+WwXHy+qJKUEwUkH893+lxvvTdzB81l86nNLgegqfmpDO8x3GHm00LC\nLKgsgKz9dqcaGrMH6HVU1pmoa8Yw+c6GDNTakLfffptJkyaxY8cOvL29+eGHxtO/q1evbqed1fPU\nU0+RnJxMcnIyv/71r5u1F2eBWke8h0QiaVuMJte+0Wkz1OzowBlqjfWnafQL7kedqONc6bl23JlK\n8vlkjhYdJalPEocLD/PxyY/duv6mk5vYfHozD454kCt6X4EQAmEuBw6PGM4/Z/yTkpoS7tl6j02w\nphmxe+nt/z6/OKhm4M4XVVFS6Ty4XTRyEeG+4Szfs7zJ0m6lsZKMooymZ7YNuEotoztQfzbsUQvU\njNm7cFat/XPQHcTx43+hrPyoW9cMDBhCQsIfnZ6Pjo7mrbfe4uabb+aNN94AoLq6mgULFnDhwgVC\nQkL44IMP8PNT7VSSkpIsc9IqKyuZP38++fn5DB8+nFdffZWlS5diNBpJSUmhtLSUrVu3EhISYrce\nYHdvc7Hei6M9/+Uvf2Hjxo2AGpBu377d4b01NTUsWLCA7OxsYmJiWL9+PStWrLB7j8jIyGbvUSKR\ntA8/XKrglrSTvDW8H0lhQY1ee77awCB/H9uDNeVQcbHDRnPsy93ncH6aNfHB6uCBM6VnGBA6oL22\nhhCC1w68Rp/APryQ9AL3f3k/L/74IjP6zrCU8VrDyeKTal9a5ATuH3E/ABdffJHynTuJ/1gNCIdH\nDGfNjDXc/9X93LP1HtbPWk+IdwhHio4wf+h8h+t+cTAHH08d1UYTh7JKuXJgD4fXBXgF8Ptxv+cP\nKX/g4xMfc2vCrU73erDgIHWirulRIL6hEDsZMrbCVX+yORXkpf77tPSoeZj9PmvrCPJwbObe2ZEZ\ntTbk+uuv59FHH2XOnDn85je/oa6ujjVr1jBy5Ei+/fZbbrnlFg4dcpwOXrNmDYmJiezcuZOcnBzS\n09MBOHnyJDt37mTOnDl88803Dtdzdq8jrE3jneHoGc8++yxLlixhyZIlNkFaQ9auXUtiYiI7duxg\n4MCBrFu3zuF7SCSSzsv+0gpqTIKHjpwjt8bo9DqTEJyrMhDr02CGWok5S9UBpU+tP62xsidAXFAc\n0P4jOnZc2MHRoqPcP+J+PHWePDnhScoN5byY+mKr1640VvL7Hb/H39OflVNXotepgUrVD/upOXIU\nw4V6dxzrzNq92+5l+7nt1JocG7GfL6rkwIVLLJisjjU5mNW43m92v9mM7TWW1T+upqS6xOl1qfmp\nKCiueYomzIL8w/X/tsx46DwI9AqkuLoYUEuf0LWN2S+bjFpjma+24sSJE8yaNYtbbrmFO++8k3fe\neYdjx45xyy23ALBgwQKn92ZkZLBr1y6Sk5MpKSmx2E3Nn6/+dNO3b18MBoPD9davX29374gRIxw+\nx9o03hmu7tkRR44cYc4c1ZR34sSJbNmyhdDQULv3kEgknZdTlTX4mXt9fnUkkw9HDsBDZz+uIc9g\nxCCE/WgOywy1uLbfbAO0/rRxvZwLCQD8PP2I9I9sV89PIQT/SPsHfQL7WIziB4YO5BdDfsE7R97h\n1oG3MqzHsBavv/z75Zy5dIY1M9dY+tIAak6r71i5bx9eMfUq3BERI/jnjH/ywFcP8OS3TwI4VHxq\nZc87JvTl84PZHGoiUFMUhScnPMltm2/jpdSX+NMk2yyYodaEp14hLT+NAaED6o3YGyNhFnz5lCoq\nuGKhzalQ71BLRs3fEqh1XeWnzKi1IW+88QYbN25Er9eTmJhIdXU1gwcPZt++fQCsWLHCUhJtyKBB\ng3jkkUdITk5m2bJl9O3bF8DOzN3Res7ubSnO9uzr60tlpTofx5lQYtiwYezZsweAPXv2MGzYMIfv\nIZFIOi+nKmsY4u/DqkEx7C6p4PlMx2J8p6M5ijPVzw4I1LT+NFcCnvjg+HbNqGnZtIXDF+Khq8+b\naH1dy/Ysa/HIjk0nN/HpqU95cOSDFpcAgNriYuqKigA1UGvIiIgRvD7jdfw8/BgQMsBh+fWLgzkM\njw6mT5gfw6ODm8yoASSEJnD74Nv57/H/crjgsOV4tbGOySu/4bY1u0jNT3M6CsSOHgMgfABkbLE7\nZW0jFWgud1bUdt2MmgzU2pDf/va3bNiwgaSkJPbu3ctdd93FwoUL+fHHH0lKSuLHH3/krrvucnjv\nwoUL2bJlC1OnTuX111+nTx/HU6Edrefqva7ibM8zZszg448/ZsqUKaSkpDi895e//CWHDx9m6tSp\nnDhxotkZOYlE0vGcrqoh3s+b2yLDmBcZxuqzeewssp8Mf9Y8miPW0bBbT3/wC2+P7drgSn+ahmbO\n7qq9UmvQetNiAmK4rv91NucCvAL43djfcajwEB+faL6w4FTJKVZ8v4IrIq/ggREP2JwznMkEQBcU\nROXevQ7vHxkxkv/e8F9enGZfftXKntcO7w1AYnQw54oquVTpvCSusWjUIsJ8wlj+fb2w4GDWJQrK\na0jNPUZlbQXlJTGYXBSukDALMlPUHkgrNBspqC99lnXhjJqq/ugGv8aOHSsacuTIEbtjkq6B/LuT\nSDoH5cZa0eubVPH3Mznq17W14id7jophKQdFbrXB5tq/ns4Rkd+kiuq6OttF3p0nxKsT22vLFoqq\nikTihkSx5sAal65//+j7InFDosgpz2njnQmRfC5ZJG5IFB8f/9jheZPJJOZ/MV9c+d6VoqS6xOV1\nKwwV4saNN4qp708VFysv2p0v/vBDcWTQYJGzfLk4MmiwMFy40Kx9/3PHSRH7xGfibEGFEEKIncfz\nRewTn4lvT9g/yxGfnvxUJG5IFP/N+K8QQoh//E9d74U960XihkQR939vidte32VZv1FO7xTi6SAh\njnxqc/gPO/8gZn44UwghxJnKatHrm1Txn5zCZrxl+wD8IFyIb2RGTSKRSCROOV1VA0B/P1XJ6a/X\nszYxjoo6E4uOnLWZT3WuuoZIb0+8dQ2+tRRndmh/WlNCAo34EFX52dZ9akII/nHgHw6zaRqKovDU\nxKcoM5Tx0o8vubTuqZJT3LftPk5fOs3Kn6y06UvTqDl9BsXLi5CbbgKgwkH5szE+P5jL8Ohg+oar\n0woSo9S5ZekXXDMQui7+Osb0HMPqH1dzqeYS+88WEd/DnzzDMXr49mDl9UkcyS5l1os7+dfuzMaz\na30ngk+wqv60wjqjZulR68J+nzJQk0gkEolTTlVqgVq9knOQvw/PJkTzXUk5L1j1q6mKzwZlTyE6\nbNitpT8t3LWG/PYyZ995YSdHCo9YlJ7O0Pq6Pjz+oU1fV0NqTbW8cfAN5m6eS1Z5Fs8nPc+kqEkO\nrzWcPo1XXBzegwejDw6mcq/rgdr5okoOnC+xlD0BQv29iAn1bVJQoKEJC7QAdP/ZYsbGhpKWn8bo\nnqP5+RV92fboVMbFhfGnTw7zizf2cK7QiVeo3hMG/AxObANTfQ9aiHcIlbWVGOoMBHSDOWoyUJNI\nJBKJU7SMWpyv7ciNeb3DuS0ylBcy80gx96udqzbQp2F/WmUhGCs6ZNjtvrx9jIoYhae+6f40gHCf\ncAI9A9s0UBPm3rTogGin2TRrtL6uFd+vcCgsOFVyiru+uIsXf3yRpD5JbLxxIzNiZzhdr+b0abz6\nx6PodPhdMd5pn5ojthxS1Z6zrQI1wGVBgcagsEHMGzyPD49/yCXTGQZFm8gqz7IICaJCfHnrnvGs\numU4h7OayK4lXKPO6Mv+0XIo1CcUUIfe+ugUPBQokxk1iUQikXRHTlXWEO3tiZ/e/tvFswkxDPDz\nZtHRs5yvNpBTY+w0is/i6mJOFJ9wuewJaranX0i/Ng3UUrJSOFx4mAdGPOCSwCHQK5Dfj/s96QXp\nbDq5yXK81lTLmwffZO7muVwov8Bff/pXXkh6gXBf54INU00NxgsX8O6nlnj9xl+B8cIFjFlZTu+x\n5vODuSRGB1nKnhrNERRoLBq1CD99MD6Rn+Dpr45vsZ7ZpigKPx+vZtfGxobyp08O8+H+8/YLaS4F\nVupPaxspRVHMxuwyoyaRSCSSbsipyhqbsqc1Wr9aeW0ddxw4jQBiG2TeLIFaO5c+m9ufptEvqF+b\n9agJ89w0V7NpGpa+rv1qX9epklPM3zKf1T+uJqlPEptu3MSsuFlNrmM4exZMJrzizYHahCsA1/rU\nLhTblz01hkergdGhbNezakFeQcTrf47e9zzvnXwdH70Pg8MH210XFeLLv+69gsGRgby310Gg5hem\n9qodrzd+12ykrGepyTlqEocsWLCAUaNGMW7cONauXdvR25FIJJJmIYTgdFU18X4+Tq8Z7O/LioQY\njldWAw5mqGnDbkNaN8+xuXyX9T0+eh+X+9M0+gX3o6CqgFJDqdv3pGXTmupNa4jW11VqKOVXX/+K\n2zbfxvmy8zw39Tme/+nzjWbRrDGYB91691cDNe+BA13uU9tyUO1FbFj2hPpArTnlT4CcrGEEMICs\n8iwSeyQ6/TNRFIVbxsSQdr6Ek/n2Y2FImAV5B6FEDeQa+n0GeOhlj5rEOa+88grbtm3jz3/+c6NW\nThKJRNLZKDDWUlprYoCTjJrGvMgw5kaGogDxdhm1s+AfAd4BbbfRBlTXVrMpYxsVpX24d8OP/Gff\nOYorXHNA0Tw/My9lunVPQgheS1N7067vf32z7x8UNojbB9/OwYKD/CTmJ2y8cSPX9LsGRbF3iHCG\n5kjgFRcHgKLT4Tt+nMPBtw35/GAOidFBxIbbDysP9fciOsS3WYFaYXkNZwoquab3IvSKvsnM542j\no9DrFP6730GZdtA16qfZpN269AnqLLXyLjzw9rKxkPrjiQscKq9y65qJAb78ZWBMk9eFh4cze/Zs\ndu7cyapVq/DyUn/iXL9+PdnZ2dx2220oisLUqVNZvnw58fHxREVFER0dTUZGBitWrKBPnz7cd999\neHp6cscddzTqzSmRSCTuQFN82gVfDVAUhRcG9eXBPj3p6d0gK1Kc2e5lz3+kraFWV0xf3QLOFVXy\nxEcHeWrjISYP6MHs4ZHMHBpJqL+Xw3s15efpS6cZEeHYeq8lpGSlcKjwEH+e/OdmZdOs+d2433Fd\n/+sYGja0WQGahuH0GTyjotD5+lqO+V9xBeVfb8eYnY1nVJTD+y4UV5J2voTFswY5XXtETLDLyk+A\n/WdVL85ZA8dyxxUf0dvfPlNnTc9AH5ISItiYeoHHrx6E3trCLHwAhMVb7KQsGTWzr2igXk+pLH1K\nmiI8PJySkhI2b97MAw88wPr16wHIyspi5cqVbNmyhc2bNwPqT15vvfUWeXl5PP/88+zbt4+8vDzW\nrVvHp59+arlXIpFI2pLTDkZzOMNTpzAswNf+RMnZdlV8ni89z9tHNuCTN4w/Tr6K5MeS+OzhK1k4\nNZ7Mggqe+Ogg45d/zfx1e/nPvnNUG22/gccExuCh83CroKC12TQNT50nw8KHtShIA6g5fQqv/v1t\njvldofapNZZVa6zsqZEYHczZwkouVbkmKNh/thhPvcKImP9n77zD2yzM9X1/2rZkyXs7XokTr2wS\nkzBCgCQECgVSSgfdUCjllJYeWqCnv5ZOVk97ukspFDoohZYVAtlAduIM27HjeO89ZFuSNb/fH58l\nL0mWBwWT774uLkD6lhxfl9687/s8j4nsyGzC1eFTnrNtVSodA3YOVHePf0MQJPVn3TvgsKBT6QhT\nhY16qankjtq8IJTO13tJb28vqampbNq0iaKi0dw1lUrF97//fQwGA4OD0uw9PT0dpVJJRkYGSqXS\n5058//33Exsbi8vler8+hoyMzAVEtdWORhBInbh3FipuF5iboeDmuX2wIDxy/BFAyXf+3UXS6Qfh\nr3+hIMVEQYqJ+zcvpqxlgO2lbWwvbeVbL5VS0mzmRzcW+s5XKVSkR6TPaaG2u3E3ZT1lfO/i7824\nmzZbRI8HR109+ovGjxi1OTkoTCYsx45huuEGv+duL20jP9n/2NOLd0/tbIuZdQsnG+1O5ERDHwUp\nJnRqZcifYWNuPJHhal4sbubynLjxby66Go78GhoPw8KrJsRIKbHIHTWZYPT397Njxw42btyIwTB+\nT+NnP/sZDzzwAH/84x+D/i3p4Ycf5sknn+TRRx/FPY9/4WRkZOYPtbZhMsK0KGfYwWGgBTyu/9jo\nc3/Tft5ufpu0wU0s7GvDfvIk1sOHfe8LgkBhqolvX7OEd/77Cq4tTOLNsvZJ/lzezM+5wOq08ujx\nR8mJyuGGhf4Lof8ErvZ2RJsNzYg1hxdBoSD8otUBBQUt/TZOB1B7jmU6goJhp5vSZjOr06NCfHoJ\nrUrJ9cuSeets++TOXdzIWLa/EZAEBV7Vp0GpkO05ZAJzzz33sGXLFh555BF0usnKqeuuu44777yT\n66+/nvDwcFoC+NncdNNNbN26lS9+8Ys4nU6Gh4ff60eXkZG5wAlmzRESXsXnf2D0Oewa5qfHfkqm\nKQvD6WgUiKBW0/WrX/sNWRcEgU35CfRYHJxu7h/3XqYpk6bBJpzu0H3BAvHH0j/SbmnnobUPoVK8\nf0Mse82o4tNid9HaP7qzrV+zBmdTE87W1knn7Sj1b3I7Ea+goCSEQq2sxYzD7WFVevR0PgIgjT8d\nLg+vl0x4VkMCKFRSB5cJwewqJUNut9/fg/nABTP6fD945plnpnzt4x//OB//+MfHvbZ///5xx27Y\nsAGAr3/963P8hDIyMjL+cXlE6m0ONseaZn6RPm+hljEnzxSMp8uepmWohYdW/IKzHf9GVChIuPdr\ndD72ONbDh9GvWzfpnA058SgVAnsrOlm5YLS7k2nKxC26aRps8uV/zoR6cz3PnH2Gj2R9hJUJK2d8\nnbnAUScVaurMTD733AmO1vbylSsW8tUrFo7bU5s4/vSOPTNiA489vRSmhCYoODEiJFg1zY6a9x45\nCQZeKm7mU2vH/AVAoYSIJDBLzY5IbSSVlkpA6qi5RbB5RMKVM+wOv4/IHTUZGRkZmUk02x04RZGs\n2XTU+uol13jje7sj3DzYzFNlT7ElYwu2wUzyeutQLsoh6rbbUCUmBuyqmcLVrE6PYndFx7jXvRYd\nszG+FUWRnx77KVqllm+s/saMrzNX2GtrUZhMvNls52B1D7lJRv5vTxU3/PogtYZE357aWFr6bZxq\nnHrs6aUwNTRBQXFDHxkx4cRFTP93SxAEtq1K5WRjPzVdQ+PfNKX6OmqR2kj67FJBaFB58z7n59qQ\nXKjJyMjIyEzCF8Y+hTVHUPobwJQCyvd2ePPI8UdQCAruW30fJ2u7yO1vwnTRahQaDTF33I7t5Ems\nR474PffK3HjOtQ/S3Dca/D0X4ex7G/dysPUgdy+/m9iwqZfrXW4Ple1+zFznCEdNLarMTH74RgX5\nyUZevns9f7htFV2Ddq7/zSHa0pdgmbCnFurY00vBGEFBIERR5GRD34zGnl4+ujwFpULgpeLm8W8Y\nU2BgtFAbsA/g9rgxjMSfzVfl54e+UJuvM+kLGfnPTEbm/admJGlgdh21hvdcSPBO8zvsb9rPncvu\nJCE8ga5TZWhdDsJXSrmRkdu2oUpICNhVuzI3AYB95zp9r4Wrw0kIT5hxoWZz2Xjk+CMsilrErUtu\nnfL4yvZBbvzNITb//B32nuuY8viZYK+ro0oTQ8eAnYdvKECpENiUn8iur1/GtUuTeNmTgKupiYoz\nVb5ztpe2kZcU2tgTQhMU1HVb6LE4WJ0x/bGnl3ijjstz4vjXyRbcY4UgplRp9OnxEKmNRERk0DE4\nWqjJHbUPHjqdjp6eHvmLfx4hiiI9PT1+hRcyMjL/OWqsdkwqJbHqWXTD+urf0/00u9vOT47+hExT\nJrfl3kZLv42EpvMAhK2UdsIUGg0xX74DW3Gx365adpyBzFg9uys6x72eaZp55ueTJU/SZmnjwTUP\nBhUQuNwefr2vmo/88gAt/TbiI7T8fHfVnH9nuc1m3N3d7LGG8bFVqeN2w6L0Gn5x6wqu/5zk7/az\nx5/n//ZU0dhj5VRjP9cuDa2bBhAdQkKBdz9tuorPidy8MpX2gWEOjvVUM6WCxwmWrnHpBBEjo8/B\nedpR+1CLCVJTU2lubqarq+v9fhSZaaDT6UhNfX9972RkLnRqbXaywrQzNlfFYQVL53uq+Hy67Gma\nh5p5ctOTqJVqihs6yeupQ4xPRJ2Y6Dsucts2en7/B7p+9WvCi4omfaaNS+J57nADFrsLvVb6Wswy\nZfFy9cuIojitn0HDQAPPnH2Ga7OuZXXiakD6C+hweTm6JUsQlFLRcL5jkG/+8wwlzWa2Fiby8A0F\n7K3o5P6XSthX2cnGJQmz/fH48Co+u6KSePyaycHnAFdsXUflw0aucbXyjV3n+eO70jmh7qd5KUgx\nBhUUFNf3YQpTkx03u0ixK3PjMYVJnmqXeT3VTCPfG+bmcXmfel08MH87ah/qQk2tVpOZmfl+P4aM\njIzMvKPWaufiyFl8mY74WRGZMSfPM5HmwWb+WPpHNqVvoihJMhEvru9lU18DEVesH3esd1et4wc/\nxHrkCPqLLx73/pW58Tx1oI4D1d1szpcKvExTJlaXlU5rJwn60Iomr4BAo9Rw36r7fK/3/vnPdP70\nEYzXXkv8j3/MHw418ovdVei1Sn71yRVct1SKbrpxZQq/3FfFz3dXccXi+JkXyRM4/u4p4oFrri0i\n1uB/lC0oFOgvuoilVVX87qFVfOflUlYsiCQzxLGnl6Wpkbx1toOBYSdG3WRz3xMNvaxKj0KhmN1n\n06klT7UXTjSN3suYIr050ExknCQIMdvNJOul4eF8DWb/UI8+ZWRkZGSmj8XtpsXunJ2HWl+99O/3\naPT56PFHUQgK/vui//a9VlNaTYzNjH7VZCsM367aryfvql2UEU2ETsWeMerPsZmfobKvaR8HWg7w\nlWVfIS5c6vLYzpyh8/En0KSnM7B9Oy9uu50ndpRzZW48u75xua9IA1ArFXz1ioWUNJvZXzk3kyCL\n3cWJd07hUqi4eWvw4HP9motwNjZyZYzIu/dv5Lkvrp32/byCAn9dtT6Lg5ouy4xsOfyxbVUqdpeH\n7SWS6GG0o9ZCpG60o2ZQyTtqMjIyMjIfIuptDmCWQoL30Oz23eZ32de0jy8v/TKJeqkDNmR3oa0s\nAyB85eRCTaHVSgrQE8VYjx4d955aqeDynDj2nuvypRR4LTpCFRTYXDYeOfYICyMX8oncTwDSbljL\n17+BKj6efV97hGcLrmV51TGe79nJrz++1G9366aVqaRGhfHz3efnZFftl3urie5pRbFgASpN8Piq\nsX5qYRolBu30h26FQQq14jnaT/OyNNXEongDL3rVn2FRoA6fNPo0jIybZdWnjIyMjMyHgjmx5uhr\nkL409XFTHztNflfyOxZELOAzeZ/xvXaqsY/cnjo8YeFoc3L8nhe5bRuq+Hi6fvWrSUXQVbkJdA/Z\nfc76sWGxGNSGkAu1p0qfotXSyoNrH0StUCOKIq0PPoSzs5Pmex7ih+8003vDrYTf/V9EHNxD2wMP\nIvrJbVYrFdyzcSFn5qCrVtM1xFMHasl19mJavGjK47WLF/v1U5sOo4KCgUnvnRgJYl+WFjnj649F\nEARuXpVKcUMftV1DUji7KRUGmjGoDagElbSjNqL6HJQ7ajIyMjIyHwa81hyZs+2oRaZLX55zSNtQ\nGyVdJdy46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/6Jnj89Pe64NrONuHpvEPvMhQRetFmZOBoaEV2u4MeplFyZKxVthz67GI3H\nhWlJDhqlgrs3zr57NZGILZtnNP50NDWB2+1LS5gNuvx8SVBw7tysr/UfxZQGbjsrTFK+6DNHyqVg\ndrmjNjsEQUgQBOHUyH8/JQjCYUEQvvN+P5eMjIzMh51q2zCJGjV61fT9rt5uepu3m98mxVvozHD0\naTl4kLDly+kWLJzsOU3ftz9HxJYtdD766LhizbufJsbFo05OntG9xqLJzAKnE2dzc8jniHXSTttn\nP7mRYw9dxRWL42f9HBMxeM1v33xrWufNNIzdH/NWUGBKASDBLf1O1vV2ofbMzx21D1ShBjwOhAmC\ncBOgFEXxYiBLEIRF7/NzycjIyHyoqZ1hGLvdbeenx35KpimTNJcHl0IFhun7iLn6+hg+exb9uovZ\n3Tii9szeQsrjj40Wa08/A8CJ+j7ye+tn5Z8GcP7IAboa632msP4EBYGwV0ujUk3We2c9odDpMGzY\nwODu3VN2+8biqJE+x0zC2CeiTohHGRc7Dwu1VABi7FKyhNHgwGZzMSirPmeOIAgbAQvQDmwAXhh5\naydwSYBz7hAE4YQgCCe6urr+I88pIyMj82Gk1mqfUSLBn8r+RPNQMw+tfYjFgpYubTjMwIfNeuQI\niCKG9evZWb+ThZELyTJlIahUpDz2qFSsPfIIPU8/Q215DbG2fvSz2E9zORy88cvHOfD8sz6vMX9R\nUoGwV1ejSk6aleI0FCKu2YK7rw/rNMafjrpaVImJvvzR2RKWXzD/lJ9GqVCLtA8BcElOGEMWBz3D\nM7M7eT/5QBRqgiBogP8Bvj3ykh5oGfnvXsDvX89EUfyDKIqrRVFcHRcX994/qIyMjMyHkB6Hiz6X\ne9rWHM2DzTxV+hRbMrawNmktC9we6mf4rTJ08CAKo5GBrHhOdZ4a550mqNVSsbZ5M52PPMKWHX8C\nmJXRbUdtNW6Xi5ZzZxEMepRxsT6T2FCwV1fPiapyKrzjz4FpjD/ttXVz0k3zIgkK6vBYrXN2zfec\n8GhQhWGw9gOwPEOD4BZpHBh+nx9s+nwgCjWkAu03oij2j/z/EBA28t8GPjjPKSMjI/Ohw5vxOd3R\n5yPHH0EhKLhv9X0gisQMD1Gn9NBt657WdURRxHLoEPqiIna37ENEZHP6+BB2Qa0m5fHHEC/byIqO\nSjxaHbrFi6d1n7G0VEqWE3aLha6GerRZ2b6kgSmf1+2W7C+y3/tCzTf+3LUrpPGnKIojYexzN5LV\n5eeDxzMjQYH51VdnlWwwYwQBTCloLSO/i0oLiXoNPcPOgEkTH1Q+KAXQVcDdgiDsB5YDH2F03LkM\nqH9/HktGRkbmw0+NVeoyTCeV4J3md9jftJ87l91Joj4RbH1onMO0qFSc653eF7qjrh5Xaxv6des4\n3HqYdGM6WZGTF+EFtZqyz3+TNzKKUN9486zMXFvPVxAWYQSgubxMCmevq0MUxSnPdU7I+Hyvidiy\nOeTxp6uzE4/F4ovGmgt8goKysmmd5+rtpfWBB+n+zW/n7FmmhSkV1UAbWqUWs91MdpQet0LgXPvA\n+/M8M+QDUaiJoniZKIobRFHcAJxGKtZuEwThZ8AtwPb38/lkZGRkPszUWO2oBEjTaUI6fqyA4Lbc\n26QX+xsAaJ5BoWY5eBCA8PXrKO0uZVncsoDHlnZYeHrtrSz87kPTusdYRFGktbKCrJVriExIoqm8\nFG1mFp6BAdw9PVOebx+T8fmfwHDZZQghjj+9e3ZzYc3hZaaCgsFdu8HtxlZaOmfPMi2MqTDQQqQ2\nkn57P9FaFagE+q3za0/tA1GojWWkYBtAEhQcAa4QRdH8/j6VjIyMzIeXWpuddJ0WtSI0EcDTZU/T\nNNjEA2seQK1Ug60fyl8FwGFMprK3clr3txw6hDp9Ad1RCnqHeymMLQx4bGmLmfxkI4oQn9UffW0t\n2AYHSF6cS2peIS0VZahHOlD2mqkFBfYqKeNT8x8YfYI0/ozYcPmU409XT4+vmNPMYaEGEJaXP21B\ngTdU3tXejrOjc06fJyRMKTDYTqzaSL+9nxitGlQKuofs//lnmQUfuELNiyiKfaIoviCKYvv7/Swy\nMjIyH2ZqrPaQo6Nahlr4Y+kfuT75ci7urIe/3gKPLYQDP4OYRegTlk6royY6HFiPHkW/bh2lXVLn\npTDOf6HmcnuoaBugcJYJAN79tJTFeaTlFzJsGWJQqwYkxeRU2KurUSW994rPsURsGVF/Hj8+7nVX\nby99z/+Dhs99nqpLL6P/H/8gbMUKVHMssJuuoMDV14fl6DHCi4oAsJWcmdPnCQlTKiCSLmjpH+4n\nRif9GXdaHf/5Z5kFctanjIyMzAWMRxSps9nZEB0x9cG2fva9dgf/29bKJbXPg+c5yQF+7Zch/yZI\nWUn2md+xs/VdrE4r4erwqS955gweqxXD+vWUdJ9Eo9CQE5Xj99iqziHsLg+FqbMr1ForK9AZIohO\nTkGtk/by2jrb0IeHh+SlZq+p+Y/tp3kZO/7ULl7M4M5dDLz1Jtajx8DjQZOZScyX78C45Rq0OYsQ\nZmCREgxdwaigIJTYrsFdu8DtJv7er1F/WzHDJSUYr756Tp9pSoyS6e0CUaDcPqZQs8mFmoyMjIzM\nPKF52IHdIwbvqNn64ZW78Zx/k097XAyGRyGs/Tzk3wgpq0AQaOm38c89VRQsWoyISHV/NUvjlk55\n/6GDB0GpJHztWsoOPEtuTC5qhdrvsaUt0hbMbDM1WyorSM5ZgqBQYIyNG9lTK2NZZqbPLDYQXsWn\nfu3akO9nt1o5/upLLL1yM8a4mSUYeMef5n/9i/5//lMqzjIyRoqzLWhzchAEgc76Wsr/8ieyVqwm\nNbcAhXL6SRP+GBUUnA2tUHvzLTTp6eiWLUO3eDG2kgB7aqIIB38OOVsgPnfS2y6nk4aSkzSdLWXR\n2vWkLJ58TEBMaQAku0XMTjMRI6kbXbb5taMmF2oyMjIyFzDnRzI+gyo+y16Cc6/zWkwS70Ql8NNb\nd4FqvPDgheNN/GJPFU8ukHajzvWeC6lQsxw6TNjSpXj0Osp7yvlYzscCHlvabMagVZEZM/ORo3XA\nTF9rM/mXX+l7LTWvgOpjh1mdmYntZHHQ853NzYh2O9pFoXfUDr7wHKd2vEbFgf18/P/9ZMbFWtSn\nP42jpQX9xRdjvOYaX3E2luLX/035u/sofv3fhBlN5KxdR07RJaTmFaBQzLxoU8XHo4wNTVAgjT2P\nEvOlLyEIAmFLl2J++WVEtxthYuHYVQm7vwedFXDTH6TzR4qz84cPUH3iKA6bNG4tfuMVVm29gfW3\n3oZaE8Ko3hsj5XJgdpiJUEo/qx67XKjJyMjIyMwTKoakiJ1cfZBCraUYm1bPdyJU/H7jT1CrJqtD\ny0a6XVUtaiI0ESEJCtz9/QyXlhJ7991U9VVhd9uDFndzISRoq5L258Z2ZtLyCinbtwvrkhjcrW14\nrFYU4f7HtvZqSUgQ6uizs76W029uJ2vlRbRUlvOP7z8w42ItfOVKMv/xj4Dvi6JIU3kZWavWkH/5\nlZw/fICz7+zlzK4dhJsiWbTmYnKKLiU1L3/aRZsgCOjy8xgun7pQ8449jVskL7ywZUvp+9vfsNfU\noMuZMNY+vwMAV+UuGo4f5vyxw1QfP4LDZkWnN7Bo7ToWF11C4sIcDjz/LMXbX6b25HG2fOVeknOm\n6K5p9BAWRYzDjkf0ECZII89uZ+hxXB8E5EJNRkZG5gLmnGWYJK2aSHXgrwNn01FOKOHqjE2sS17n\n9xjvWPJoXS9LUpZwrm9qQYFlJDZKv34de71CggCKT6+Q4LaimQW+e2mprEChVJGQPRohnZpXAEC3\nSkEUYK+rI2xk1DcRX8Zn9tTWHKIosvfp36E1GNhy9zcwd7Tz4g+/wwsPP8At3515Zy0Q5s4OBnu6\nuOiGm8lZu56ctetx2oepO3WCyiMHxxVtK7fewNqPBu5e+iMsv4Dudw8ELWRBGnuq0xegXbIEAF2h\nVHwPl5RMKtTEyrd4tzOLkr4E7Kd/NK44W1C4DKVqdAx+9e1fJWftJbz1+1/w/He/xarrPsq6Wz4V\nvLtmTCVyeBA0oPZYpJ/TPMv7/MCqPmVkZGRk3nsqhmwsCdZNGx5A1VPDGY2Kr638mt9DOgaG6Ry0\nE65RcqK+l0WROVT1VeH2BP9CtBw8hCIigrDCQkq7S4nSRpFiSPF77NwJCcpJyMoe9+VujI3HlJBI\nx0AfAI4gUVKjik/DlPeqeHcfLefKueyTnyPMEEFi9iK2feeHDA8N8cLDDzDQPbeWFU3lJYDUIfSi\n1urIKbqEj9z7Lb7y5F/5yNe/TWxaOgf+/mc66kJLYvAyKigI3C31jj2Nm7f4xrKajHQURuPkPTVr\nL301JRzvSSElfJCbNmdz5x+eY8td95K5YvW4Is1L+tLlfO7xX1N45SZOvPYvnvvW12g9H+QvBaZU\n9LaR0COP9JeJwRBMjT9IyIWajIyMzAWK0yNSZbWTqw8LfFDrSQREWiOTSTf672aVNktfgLesTsPi\ncKMXFmBz2WgcbAx4WVEUsRw8iL5oLYJKRWl3KYVxhQHVinMhJHA5nbTXVJG8OG/Se2l5hbQ01iEq\nFEEtOuzV1WhD6KbZrRbe/sufSFq4mIINV/leT8xexLaHfiAVa9+f22KtubyMsAgjMakL/L7vK9q+\n8QBavZ4jL/19Wtf3CQqC7KkN7t49buwJICgUhBUWYispGX9w1S7qh6Q/z42ro8m0HvZbnE1EExbO\n1bd/lZsf+gEuu53nv3s/b//lT7gcftScphR0IzFSducAKhGsiCElUHxQkAs1GRkZmQuUGtswTlEk\n1xC4o+Zplny79BmXBjymtMWMIMDn12cAYO6XPLyC7ak56utxtraiX7+eQccgdea6oEa3ZS2zFxJ0\n1lXjdjr9KgfT8gqxW4YYTk8LGM7uy/gMYT/t0At/xTpgZuMX7kRQjP+qTVyYM1qsPfwgA92d9PX1\n8frrr+PwV2yEgLSfVkpaXuBi14tOb2DlNTdQffzItLpqPkFBkCipwTffQr1gAdrc8T/jsGVLsZ8/\nP96H7fwOGoYTiExMwrRiK3RXQu/U9iheMpau4LOP/5qCjVePdNf+C6u5f/xBplRU9iHCPB767f0Y\nBAG3WsGgff7sqcmFmoyMjMwFyrkhKeMzzxC4o2apf4c6tYrCtMCFWlmLmew4A+kxehbGG6hq0aNS\nBI+Sshw6BIB+3TrKussQEVkaG1xIkDdLIUFLpRQO7m8J3bun1pcYGzCc3af4nCI6qquxnlNvvc6y\nq7aQOGYXbiyJC3O4+aGHGR4c5B8PP8jf//ZXTpw4QX19/TQ+0SgDXR0Mdnf5PsdUrNx6Pdrw6XXV\nphIUuPr6sBw5gnHz5knFoq6wUBqbertxLgfu83tpskSQvnQl5Ix04M5PHZM1Fm14OJvuuIeP3v9d\nelubqTxyYPwBxlQAEl1u+of7MSmUoFHQb5k/yk+5UJORkZG5QKmwDKMUYGEgDzVRRNV6mlKthtUJ\nqwNep7TFzNKRkWRRVjTFdQNkmbKDCgosBw+hTktDs2ABZd1ShyY/1v8C/1wlErRWlhOZmIQ+MmrS\ne949tR6NEkd9PaKfhfPRjM/AHTVRFNnz1G/R6g2sv/UzQZ8naeFibn7oYbpV4XR2SeO51tbW6Xwk\nH01npf2vsftpwdDpDazcKnXVOutD72KF5edjr6n1m1DgG3tes2Xyecuk/Fbf+LPxMG1mEadLJH3p\ncojOgtjFULkj5GcZS9bKi4iIjaP57IQ9OJNUqKW4pY5alFqJqFbQO4/SCeRCTUZGRuYCpWLIRnaY\nDq0iwFeBuZmw4QGajAkkG5L9HtI5IiQo8BVqMVgcbuK1mQFHn6LTKcVGrZcUpCXdJWQYMzBp/Rdi\n1V1DDDs90yvUjv4enrvJ94/47I20nDlCiqpj3Osc/T14PIBU5HRYB/E4nThbWiZd0pfxGaRQqziw\nn5ZzZ7n0E58hzDB12kOv3YXdGI3O3I3KOUxLQ2AhQzCaykuD7qf5w9tVO/xi6F01XX5gQUGgsSeA\nKjoadWrqqKDg/JvUW2MRFAoW5I90UhdvgYaDMDwQ8vN4EQSBtLxCmspLx++fjXipZaLBbDcTq1Eh\nahT0yYWajIyMjMwHnQrLcEj7aYrUNQGP8S75e9WYazNjpDfsyXTbuum2dU86x1ZSgsdiQb9uHaIo\nUtpVGjyIvXmaQoKmY7DjfuhvgGEzDJvp7xvE5oBkw7DvNQZapOOe2Qo9NaTmFuBwOBjUaXzds7HY\nq6tRJSYGVHzarVbe+cufSFyYQ+EVm6Z8zN7eXl599VVSUlK4Na0ZrBaaZ1CoeffTUvMKJu3DBUPq\nql1P9fHDIXfVAgkKgo09vYQtXSp11EQRKnfQ4EwladEStOEje4c5W8Djgpo9IX+GsaTlFWIbHKCn\neYyIJSIJBAULRIE+ex8JWg1olPTOo2B2uVCTkZGRuQAZdLlpGnYENbrtr92DXYDUhZNHWV68QoK8\nJCMAcRFasuP0dPZIBdv53vOTzrEcPAgKBfqiItosbfQM9wQMYvfeQ69RkhUbgpDA44bt90FEMtzx\nNty+B27fQ8uybwOQ/KUnfa/xlSPw0d9CRzn8dj1p9tMA9BjC/Fp02Guqg449D7/4Vyzmfq78wl1T\nFkwul4t//vOfCILAx1ZEkW7eh941gM2jYLCzaerPOQbvflqoY8+xrNx6w7S6aqqEBJQxMZMKtaE9\ne8DtJmKM2nMiuqWFuNracJ47iq27ifZ+kfTC5aMHpK6BsCiofHPanwMgLV/6/E3lY8afSjUYEqUY\nKbuZ5HANKAXaLXJHTUZGRkbmA8w5iyQkyA0iJHA1HeGcRsOq5KKAx3iFBHrtqGFuUVYM5xqkrpO/\nPbWhgwcJW7oUpdFIaXdwo1sYSSRIMYUmJDjxJ2gvgc0/Au1o56u1shytXk9MStrosYIAyz8Jdx+B\nzEsxHnoYU5hIX1QE9gkWHaLbjaOmNqA1R1djPSd3vMbSjZsDCgjGsnPnTtra2vjoddcQ+e73EBLy\nycqRDGIbdv9x6s85hqZyaccvLa8QavbCC5+B03+TMlqnYLpdNZ+gYEKhNrDjTdRpaejyxlufPP5W\nJbvLOwAIWyrtqQ3vfp5GSyQAGctWjB6sVMGiTVC1Uyq4p4HZ5uR7e9vQR8f63VNLcDnpt/eTGi6l\narTNo2B2uVCTkZGRuQDxRkcFNLt1uzD11FNriA64nwZSETVxd6woKwbLnpCLAAAAIABJREFUsJZY\nXeIk5afbbGa4tAz9Omk/rbSrFI1Cw+KoxX6vPy0hgaUb9v4AMi+TAuPHIAWx5/rvdBmT4ZMvwA2/\nITWsj16dCvvpQ77dNQBnS0vAjE9RFNn7p9+hDddzySeCCwgAysvLOXbsGEVFRSzpeBXMTbD1MVZu\n+iiIIuWlFWDtnfrzjtDs3U+Li4aX74aK1+Hlu+CxhfDXW6Ys2lZecwOasHCOvPR8SPfT5edjr6nB\nY5N+h3xjzy3jx55NvVZ+ta+aR986hyiK6PJyQaXCVnyEBk8W2nA9idkTIqVyNoOtF0bG7qGyp6KD\nf59uxRWf5XdPLcYxTL+9nxiN5NPWPo/yPuVCTUZGRuYCpMIyjF6pIE03ObcTwNN5Fq3HhTMpsGVG\n58AwHQP2Sbtja7OiAYgQFkwSFFiOHAWPB/0l6wEo7S5lScwS1Er/RqfTEhLs/h44LLD1calbNoJt\naJDeliZS/Bjd+hAEWPEp0m74Bg6Fku6OLsRnrvX5enkzPv1FR507+DbNFWVc+onPEhZhDPqIvb29\nvPLKK6SkpHDVyiw49H9QeAtkrCc1Zwkqt5Mmdywc+e3Un3cE337agSdgsBU+vwO+tBfWfhk6yycU\nbX+fVLTpDJICtOrYoZC6amE+QYFUhPvGnpvHj8h3lLUBcL5jiLKWARQ6HbpF2VjrOmkYjCAtfymK\niSHt2VeCQgXnpzf+PFLbA0BLWPLkPTVTKpHDQ5iH+4kZiUrrdsiFmoyMjIzMBxhvdJQiwOJ3V5Vk\nkxCVfXXAa/iEBBOKqPgIHdlxeoatCdQP1GNz2XzvWQ4eRGEwEFZYiNPjpLynPLh/WqhCgqbjcOo5\nKLoL4sZ351q9/ml+jG4nkrbqMgC6tXrcDWXw2/VQ+7Yv43PijpptaJC3//InErIWUbAx8M8KpL20\nF198EUEQ2LZtG6qdD4JSC5t+AEhjxZioKIbUkdgOPhlSV83c2cFAVyepaQlw+Few/NOwYC2krpLG\nv/eWwpf2jCna7qT9mVyqt2+AwQ7fdVZtDb2rpisowKFUsO/5ZynZ8xYDb76FOjUVXf74Qnh7aTvZ\ncXo0KgUvFkt7d7o0Iz2D4QwMOcaPPb2ERcKCi6e9p3akVvpZnRiWrFeay8eY8hpTUXlchDttGBSS\n0W2fa/7kfcqFmoyMjMwFhiiKnLMMB42OGqzbT69CQd7CrQGP8QoJ8pMnd5GKsmJo7YjGI3qo7qv2\n3ddy8CDhRWsR1Gpq+msYdg9TEBvYpLUsFCGBxw1v3Ccp/C7/1qS3WyvLUSiVIe2OGePiiTCa6NHr\ncFzxB2m5/fCvsFdXSYrPiFHLDVEUeeu3P8c2MMDVt9+NQqEMcmXYtWsXra2t3HDDDUS1H4TqXXDF\nAxCR6Dsme/ESRLWGsl5jSF017+J8WscroNHDVd8bf4AgQOpqX9E2/Nl/ci7HSKOuEddv10DJCyCK\nI12166k6doiuKZSnDc0NvJubzrn6Kt5+7inMx45ivGbLuLFnc5+VM039bFuVxqa8BF4504rd5SbM\n0EtnmPRnmb50pf8bLL4Guiqgr37Kzw/Q2m+jsddKRkw4VTYt4VEx4wUFIxYdSS43SvcQAGa3x9+l\nPpDIhZqMjIzMBUa7w0m/yx3UmkPfUUG13khKRGrAY8pazGTF6scJCbwUZcVgGUoARgUFzsZGnC0t\nvv20ki7J/HSqRIL85CmEBMXPQNsZ2PRD0E72LmuprCA+Mxu1Nkj4/BjSluTTawhjuH0ACm6Cmn3Y\nz1dOEhKcfONVak4c5bJPfZ6ErOCxUuXl5Rw9epSioiJys9PhzQcgLhfW3DHuuJwCSVRRplgGR383\nZVetubwUXZiW2K63YeP/gCEu8MGCQLVlO27BhSgIDCSnwb9uh398GgY7WDnSVTscIK1geGiIHb96\nglce+wE6tYblDgGHzUpLRNjksWdpOwDXFiaxbVUq/VYne8+2EeYppTsinAh9BJEJif5uI9l0QMgp\nBUfrpLHnXRuyQRBQpiwav6dm8qYTuLC7zKhEGELO+pSRkZGR+YBSMRIdFaij5hnuJ8Haz2Bcjt/3\nvfgTEnhZmxWN6IxCI4T79tSGDh4EwLB+dD8tShtFaoBi0OX2UN42EHzsaemBPQ9DxqVQcPOkt90u\nJx01VX7zPQOxYNUanColneVlkHcjosspKT7HjD3bqit5569Pk726iJVbrw96vcHBQV555RWSk5O5\n6qqr4MD/grkRrn1cso8YQ1JSEgDt9jBsVuuUXbWms2dI0/UiJBXC6i8EPba37zAdna+Tlvo5QKB/\n3cfg6h9A1S74zVrC6t5i5TUfoero5K5aTfExnvnmV6g4+DZFN9/KtWsuJ6mylkiUNCbGoM0b//Pd\nXtpGQYqRBTHhXLoojvgILS8dKkOpMdMTEUaCOkjRHJMNMYtCTik4UtOLKUzNjStSCVMr6dSnYBsw\n09syYnMyNkbK3k84MCzMn2B2uVCTkZGRucCo8Flz+P+ybDm/HQUQnnFZwGt0DvoXEniR9tQMaDyp\nPuXn0Ntvo05LQ71Acs8v7SqlILYgoEFqTZdFEhKkBlnQ3/N9cAzB1sfGCQi8dNTW4HI6SA4mJJhA\n2ohTfkt9DaSsxKlIQ3S60IxkfA4PDfH6zx/FEB3NlrvunTIE/fTp09jtdm688UZU5gY4+HMo/Bhk\nXDLpWK1WS6TRiFsbRrXhSqmrZuvze11zZwcD3d2katph6xMQZPTq8Tg5f/776HSpZGf/NwZ9DuaB\nU7D+v+DOAxCzEF76Iivtb6AJC/Ptqg0PDbHj1z/j5UcfJizCyKd+9DPW3/JpDIWFCB4PCxrbGFQp\naDpb4rtXc5+V0039XFsoqYWVCoEbV6awr9HFOXsqboWCmC7/n8nH4i1QfyCklIIjdT2syYxGo1Kw\nPC2SU65YYDRWC30sHqWGRLcLs91MhKDAo1IwNE+C2eVCTUZGRuYCo2LIRqJGTZR68sgSoLtaGjml\n594U8BplAYQEY1mbFcPgQDzn+87jsgxhPXwEwxUbEASBIccQtebaKf3Tgt6juRhOPgtr74R4/x2z\n1spygOCKzwkY4+LRK9V0DPSBIGCPkJIZtGmJ0l7a737OUG83133tW+gCpBR4EUWR06dPs2DBAuJi\nY+HNb4NSI3WyApCWno4nPILztlSwDwTsqjUf2y0dv2KdJCAIQnPzs1gsVeQs+h+USh2myFWYzacQ\nRTfE5cAX3oKrHyasYQ8rTQ2cP3qQ4u0v8+dvfoWKA/spuvlWPv2T//WNeL0JBUn9Q+jC9Zx683Xf\nvcaOPb1sW5mKWxTY7yxCAIxVtT57D7/kXAMeJ9TuC/q5WvttNPRYKcqSDJZXZ0RxqlfAEB07uqcm\nCIjGJJJGOmqRKqUUIzVPgtnlQk1GRkbmAuPcFNFRqtbTNGt0JMf5D0kHKG0ekIQEQQq1oqwYhi2J\n2Fw2Gva9juhwEHHFFQCc7TmLiBg0kcArJMiM9VMMeQUEhgTY8O2A12iprMCUkOg3iD0YibHxdCvB\nbbFg90gmuVp3Fad2vEr18SNc9qnPk7TIv/fbuPu3tNDT08Py5culUV7VTtjwABiTAp6TlJSER6mi\nvqYBW/a1UqE2sasmijTtex6d0kXszT8K+gx2ewe1db8gJmYDsbFX8srpFt44F4fbPcTQ0EhyhEIJ\n678Gd77LysUGNAoX+5/9IzpDhK+LplSNjmlViYkoo6PRJSezbPO11BQfxdwpFWhjx55eFinbWSZU\n09HnJi4hCbXTyXB5eeCHTlsLusgp1Z/e/bSiEUuYVelReBDQLcihuaLMN94UTAtIdLnot/cTrZpf\neZ9yoSYjIyNzAeHyiFRZhwMa3Xo8bpL6W+iODh7uXToiJDD4ERJ4KcqMxjMsFSS9u99CYTAQvmqV\ndH4IiQQlzf3kJ5tQ+hMSnHwWWk8FFBCA1M1qPV9BSk7o+2leUhctwalS0n78KPZOGyo9dJ3aztt/\neZrs1WtZufWGkK5z+vRpVCoVeTlZ8Oa3JAHB2i8HPSc5WRoZutQ6aiKu9t9Vq3iVpg4baZmpCMYA\nS/kjVFX/FI/HSc6i/wHgF3uq+NtpKRmgq3eCsWzcYsK+vJNN61O5NK6OT937Zb9CCUEQiP/v/ybh\noQdZdvVWBEHg9M43fGPPrYUTCtHzb3ITb2O0dhORIyUU2M6UTLquD6UKFl0NVW8FTSnw7qflJkrj\n8ZXpUQgC9ESkYjX309vSDIDClEay24PZbiZepwaNkh7L/Mj7lAs1GRkZmQuIWpsdu0cMGB3V0HyI\nWJcraBA7SN2uqUxo44060o2ZKDwK1EdK0F9yCYJGMtgt6SphQcQCTFr/1wgqJLD2Srtp6ZdA4baA\n9+/vaMNq7p/WfpqXBWsuBqDhxDEcNTUIafG8dsSMPtLE5hD20gCcTielpaXk5eWhO/4b6G+UdukC\nmPt6SUyUCi9VTDznK+oh9yNw5HejRrUOC+ZXvsuAU0fquuuCXquv7ygdHa+Snn4H4eEZnGsfpLbL\nwvKMJfTbjew6vQubY0IhpFSx+AuPsibZjOrQEwGvHXnjR4nYuJGImFgWrV1P6d63eONkAzB+7AlA\n5Zss1QyiQKRUl4k6OVkKaA9Gzhaw9kBLccBDjtT1cFFGtE8VbNSpWZwQwVlRUr/6xp+mVGJcLsy2\nbhJ13rxPuVCTkZGRkfmAUWGR9oIChbE3n3sFgMTFgQuAzsFh2geGpzahBS7OSiSjKQptv5WIKzYA\nUqertLs06NgzqJBgz/elJfMAAgIvXqPb6Sg+vcQuX0GYw0lL7XmGa2s5GZ3IkFPDddeuJszgv4M3\nkcrKSux2O8uzk+DAz6FgG2ReOuV5Op2OmJgYtPGJNJSeZvii/wK7ebSr9u4TNHdYAUgrWDbu3HPn\nzvHUU0/xzjvv0NXVTuX576HTpZCRficAb5S2oRDgpzcvQ29YQaTqHF/883FfsWa1WikuLuYv/3qD\nP4d/iWPltQzWBS6UvKzYch12i4WT+/aQn2wkPWaM752tDxoP000qHpWWf7co0BQuxVZyJvhFF14J\ngjKg+rPN7N1Pix73+qr0KI52TdhTM6WgBBhs9+V9tljnx45a4J61jIyMjMyHjoqhYZQCLAr3X6g5\nm47gEATiMzcGvEYoQgIvRVkxaF5U4hFAf5mkIu2wdtBt656ZkKDlJBT/GYq+AgnBO2WtlRVSEHtq\n8DGuPxRaLbGikvbuTgwGLU0WC5cv6CfZfAC4J6RrnD59GqPRSEb93wERrn445PsnJydTW1ODwu2m\nusFMQe5HpEJt0SY4+H806TaiMyiJTUsfd96hQ4doa2ujqamJc5W/Ijv7PErFPfT3W4mO1rG9tI2i\nrBhiDVryMi6lquptaloq+cZvm1kbaaWhvg5RFImKikKpiOINrmTHn18lPaOU/Px8cnNzMfgRUKQs\nziMqLZPo+qMUbNw8/s3qPYgeN/UdDqIW5tFr89CUmEn0W2/i6upCFRfA+y0sCtLXSXFSV/2/SW8f\nHUkj8AoJvKzOiOKvRxsxZi6mecRPTRjxUtMMdpISrgWgfZ4Es8uFmoyMjMwFRIXFRlaYFp1y8kDF\nI3qI7q6lIyKeNJU24DVCERJ4KcqMRqi3cD4FEnUeYgjN6LasxUz4RCGBxwPb7wNDfFABgZeWynKS\nFy3xH8QeAklRsTRZeylPjiF94WJWXaqFY3+QRpBhkUHPHRgYoKamhktWF6Io/pHkcTbikB/SvZOS\nKC0tJTE+ifNHDlDw+W9BxWvw54+AOozmwXBScxeN+2yDg4M0NjayYcMG8gtSKSm5Aas1i+ITfezf\n/0siY+LQ92q4avlarFYr7W1S1+u2uP10d6VzfiCMS4suZllhgc/PrfO1H1B+8hBn+41s376dN954\ng/T09ElFmyAIDC+6mJimv7FGN8Gkt3IH/cokBvrMbPjoWuKKtbzlieUTgK20lIiNgf9SQM5m2Pkd\n6GuAqPFF6ZHaHow6FblJ47uuq9OlDttAVDpW80F6W5qJGfFSC7P2EKeVRs8d8ySYXR59ysjIyFxA\nVAwNsySA0W1NbyU5w1YcQYLYQep2ZU4hJPASZTOzsMdM8UIFlX2S8W1pdylqhZrF0YFVk1IigXG8\nkODUs9B6UhIQ6IKHnw8PDdHT3EjyDIQEXpKzpMgpndPFNV+9DyH/RskyIgQj1pKSEkRRZLnlHRAU\nsP7e6d17RFAQX7CchtIzDBsyYcl14LQwsOpezN3dpOWP70iWj6go8/Ly6Oz4LYLg4cqNf+DrX/8G\nmzdvZtAhskrdQuO7/+KRRx9hx44yPB4VSxarWHjZR/m7NZ+/NpmIik1AEAQEQSDhqq9yhaaMu5NL\nueuuu7j00ksZHBxk+/btPPHEExw4cMB3/93OFByqMNoO7Rp9KLcLqnfREHYRAFnLV3LTihReMoeD\nUhlcUACSTQf4TSk4UtvDmswYFAK0t7/KiRPbsNmaSI0KIz5CS6UgJWM0lZf6iuQIm5kYteQ31+uU\nfdRkZGRkZD5ADLncNA47yAtgzVF1/jXCRZGo7KuCXicUIYHvnvv2A3BikUBFj2R8W9pdypLoJWiU\nGr/nuD0i5a0ThATWXtj9fUhfL5nFTkFrlTeIffpCAi8xubksae1mrdmBPilZysw0pkL5y0HP83qn\npSXFE3PuOVj52Wl102BUUKCNT8LjdlF94ghc8whc/TBNaqmQTsubXKjFxcWhVtfT3vEy6Qu+RHh4\nJiaTiaKiIvZTQE3C5XQt6OJc5Dk+9plbiY5ehdHUxac3LueJjy3nYE03tz97guH/z957R7dV3///\nj6thSbZsech7r8QrdoazN6QhCZQwwt57FEpLC92FtkCBUjpoS0uhQMseAQIhYQeyYyd2POO9ty1b\ny5KscX9/XEuO4pGkn+/vED4fPc7xOeTe9733fRUf9MxrPZ3jDQbBkbD4NoSad4lliLPOOou77rqL\nO+64g6SkJA4ePIgoinSN2DjSaUEzZzlNpYcw9o8bvnccALuRVnMYuphYwmPjuXhBElaZEkti2snr\n1PRZ0jDeen9x3GO00To0yrJ0gcqqO6mu+T5GUxlDQ18hCALFaREcHABt1HidmioUh1JNpGMU3fi/\nL0bc3wxj9oBQCxAgQID/I9RZZ7aOsrTsAiAy81vT3mPA7KDXZD91obZrF86YeDrCdBzqqsLlcVEz\nVDNjfVrTgAWb0+3/jM9/A3bjSRsIvHTX1SLIZMRnzWyDNRNBGZlkDBiJScuQDggC5F8ATZ9Le5mG\nrq4uBgcHmRvUIkXTVnz/tJ/tbSgwO8YIi46l/sAeybNy+T10HKtGrQ31q08zm820tbWRl5dDff2D\nqFUJpKXd6Ttf12emacDK2qJE9in3URNRQ5OniXDdfCyWGtzuUS6an8QTW4rY2zTIzS8eJ9aWfkcy\nfP/q8fGPQSA2Npa5c+diNpsZHBxkR2UPAOsvvhAEKP94+/iDd+CWqeho6yd1zjwEQWBWbCiFSTqO\napOwV1Yhek5ikD5r3KXAYfYdOtg0xKK4w6SJtzI0tIuszB+hUIRhsUr/GFiQGkmX0Y4+K9dXpzYa\nEkWs243TZUbuETGf7LlnCAGhFiBAgAD/R5jJOkoURYL7ahlVqiAyY9p7eBsJTqXj02OzYd2/n9C1\na/A4EjlmqKNppAmbyzZjx2dl5wmNBF1HoPR5ycA8dvohvF6cDjtNpQeJSctEqZ5+sO/rr79OSUnJ\ntOdVGekAPusoAPIuAPfYjOnPo0ePolDIyW9/6b+KpnmJj4+nu7ubWUuW01ZRzq6KNjb/ZQ/t1ZUk\n5Rb41afV1taOX9OMxVpH9qyfI5dPCPIPK6Ruz9R4Ay6PlPLb370fnW4BoujGaJIiWxcvSOJ3J4q1\n8aga1e9Cf63vnhkZ0u9JU1MT2yt7yIsPIy87leyFS6n6/GOcwz1Q8x69uqWM2W2kFs3zXbtlQRIH\nVHG4nGZK9m+m/OjN9PRsxemcwjJq1gbpM3/zBqh+B4elHVv/j7it8EW0waksWvg+qam3EhIyC4tF\nSq8Xp0oDjm1RadI8te5OnNoY4l2SjZRaFLB+Q4zZA0ItQIAAAf6PUGuxESyXkayenHJsGmli9qgZ\nk37WjBErbzdmfsLMNWIA1gMHEB0OYs5ZR5gsFcNYJ6V9pcDMg24rxxsJMqK1UgPBh/dBSDSs/clJ\nn+l02HnnsV8z1NnBos2TTdq9DA0NUVtby/79+6c155aHhxP3618RefXVEwe96c/qqdOf3tlpuWGj\nqGWu/yqa5iUhIQGTyUTy3AV43C7eeHsHzS2dmAf6SM4r8FtbXV1NdHQ0Y85y1OokovXrfedEUWR7\nZQ+L06NosVQBsDR+Kft79hMWJokn48jECI4tx4k1Xxp06V1SVO3Lx33rIiIiiIyMpPpYPWXtI5xb\nKDUgzNv4bexWC7VPXgWWflo1SxAEGSn5E6NEvl2YQIs+FctGN2ZHDRZLLTW197F7zyKOHr3FX7Sl\nLoMV30fsKadv160c3LuGSEUp5X3fprjweUJCpIG8Wu1srNZ6RFEkLyEMjVJOk0JKIXfWVEJYEnEu\nNwO2AbSCgEPGN8KYPSDUAgQIEOD/CLVWyZFANoUQK+vcTabTSXDazHO+vI4EoeqZh7aCVJ8mCwkh\nuLiY3KgcEDxsbdiKTqUjJXT6kRl+jQTlL0FXKaz/DahnjuJ5RVpnTRUbvvN9Zi2ZbHrupb5esk4y\nGAz09vZOuy7i0ksJSjlur4IAeZuh6bMp05/19fXY7XbmDu+E+df+19E0wNd56QrSoI7QI2+rINMt\n7TU8Y6JJYiLtmYfJVI4ubK7fQN76PgtNA1Y2FcZT3l9Oui6djekbGbQN0mrtJyQkG6PRf1balgVJ\nPH5xIXsax8WaUjceVXsH+o/51mVmZtLZ3o4Mj8+NIDElnugQN2VtIF7+Cm3tg8RlZvv5okaEBFG8\nPALL2R50PZksX7aH4gVvk5x0LWafaFssiba+9xhddh2V56ynKjcMhRDFg/vvQ1fdh+yJHHjjOqh+\nB606DZfLjMPRg1IuoyhZR8mQgDYyio7qSoIiMwj3eBgwthEmk+FRfjOM2QNCLUCAAAG+gbhFkW8f\nbuDNXsP0i+wmePZbcPhFRFHkmNU27aDb/saPkQGh6WtnfG5Vl/GU0p6iKGLZtcvnRrA6TYqm1A/X\nU6AvmHayv18jwagBPnkAUpZC4WUzPs/psPPu4xMiLW/lzO9RX1+PTqdDEARft+Qpkz99+rO8vJww\npYd0oet/FE2DCaHW09PDkD6HZFsnF0SOYJepeKd9or7Km/acNSsGh6OXMN1cv/tsHx9yuz4vhvKB\ncubFzGNpguS84E1/Gk1liKJ/zdYlxcn+Yq34Dr9atZraHxOl/wzR46RYL5KuD4FRA8J/NjMvvI1B\nRzBNI1p6Gxv80p4g/X6sT3oVz5gM+dsKBEFAp5tLdvZPWb5sN8UL3iI56RqfaNt/YB2DQ1+QmXEf\nA9Fv0WONZ8n5t0LRFdC2F968Hu22XwEcl/6MpLbXQnxOAR01lQRHSfWKowN1RIz7fY58A4beBoRa\ngAABAnwDqbXYKDFZeaipG7t7mqLotr3QeQje/y79Jf/B4HRPaR0liiLy7jIAhMQF0z5zwOygx3hq\njQT2mhpc/f1ox90INuTkIbql2WwzzU/zayT4/KHxBoInZkzHekVae3XlKYk0u91OW1sbBQUFpKen\nU11dfXopsMRiCEuclP40m800NjZS5DyCbME1UvH//wC1Wk1kZCRtHV18ZI9Djoeh6lJcMem8sLcN\n47jIqK6uRq/XExTUBUBY2MTnK4oi2yu6WZQeidXTg9FhZG70XOJC4sjQZbCvex/hugW4XGas1oZJ\ne7ikOJnHvGLtrWbsC26Dqq2Y23fQ0/MmVut7xMQ2siDCIQnrf58PA/Xk3PIk6tAwPvnnXxBFD6mF\n/kKtf2AHjJXSUZJHUG0bHrvdd04SbfPGRdtXFC94i8yM+1i08D3S0m7nQIuRULWC3OI1cN6T8IM6\nuPINQkakCKdXqC1Ii8DtEXHHZDBqHMHsktL1zpEWooMUkt+n5cy3kQoItQABAgT4BnLIaAWgb8zF\nSz1DUy9q3QNyFWSvp3b/iwBTmrE3jTSRZR3Boo2BkKhJ5734HAmSTi7ULF/sAkFAO+5GEK8LRumR\n0oAF+oJpr/M2EhQHtUHpv2DRLRA3/XpJpP2G9upKNn7n3pOKNIDGxkY8Hg+zZ88mLy8Pg8FAX1/f\nSa/zIZNNmf70zk4rEo79j6NpXhISEmjt6KRLrkcTqQdg4dKFmB0untvb4kt75ufnYzQdRRAUhGon\nGi68ac9z58RT1i+J8XkxkmhalrCMw32H0YRK9YIjxqmtoi49Tqzd2n4WdqWOzqqHkcnU2IQ5ZGWV\nEOGpgn9vhoF6uOIVlLkbmHPWekaNIwRpNMRnTczMc7msNDQ8LO1TsxmZ6KGvtHzKZwuCDJ1uHmlp\nt6PVShGxA80GFqdHTszYk8khez1KtR6VR43FKgm1+SmSQXu7SopMdnZLNW+CsUsyZv+G+H0GhFqA\nAAECfAMpMVqJC1KyRBfCU219U0fVWndD8iK47CVqU6XBobkN7/gtOdoxwtUvv8IcxxiypIUzPvN0\nGgksX3yBZu5cFJETPoxJwVLR983P9DPr5zum/Ln/7QpCggSS9/8SQvSwZvoGggmRVsHGO08eSfNS\nX1+PRqMhKSmJ3NxcBEGgurr6lK71kX/hePpzJzA+O+1ICcn0oF9wvl80rXN4lJWPf86hlunT1F31\nw7z2m4OMjHt4eomLi8fjGGVVRhh5y6T6weIlC9lYEMfze1ooq5CaA/Lz8zGZjqLV5iCXT4jx7ZU9\nCAKcUxBHWX8ZkepIUsOksR5LE5bicDuoMQ4QFKT3ayg4kUuLk3nsokJ2Nxu5S/MLepXdxOlW82r9\nrYy5NcTHb8M02AaXvwJZ0hy+ues3IQgykvLmIFdMDEdubf0rDkcUpWZnAAAgAElEQVQvs2c/yNLz\npL+z9gd/g+Gll3H298/4sfeZ7LQMWlmcfsI/KAQB4uagtYlYxyNqOo2SWTGhHB6WS3VqLV24EVBZ\n+nw2Uh0BoRYgQIAAAf7/4JDRykJdCD9Mj5s6qmYbgZ4KaUCsQkVt9sXEuC1EfXi3NOoCMNqcfOeV\nIwS5yol1u2lSntyR4FQaCZx9/dirq9GuWeN3/Jcr72CF7nvcuLSAG5enT/lzy8oMXiluRugqlbwx\np7FqmiTSVs1gQ3QcbrebhoYGsrOzkclkhISEkJaWRk1NzX+X/hwfftvd3c3A0AhzhVpYea/f0k9q\n+ugw2PjZO5U4pxDUbpeHXS/XMdRlpeTDFr9znWOS6Do3S82izVv41i13EZ2aznfPzsbscPHlwTL0\nej3R0VGYTJWEhfnXp31Y2cOitEhiQtWUD5RTFF3kqw8sji1GIVNwoOcAOt2CaSNqXi5dKIk1RXAN\nHrmArG6UvS0i3Y0L0GjMVC4pRsw627c+TB/Ded//EauuvN53zGptpr3jX8THXYxON5/c/HS+OPcm\nDKZR+h56iMbVa2i7+pppRduBZun3/ER/T0ASasMmrKPNeDxSWnhBWgRl7SMk5c6hs7YKsyoU7egw\nyeNCrWv0zPf7DHh9BggQIMA3jG77GF0OJ7fpglkermWJLoS/tPVzdXzUhIdn+35AhDSp8/HY6Bi5\nUbGSqfcH30NE4P7aAnqNNrakNsIIPHhEww3Z3ZxXmDDlc6u6jCxMi5zy3PFYvtwF4KtP87IwOYuF\nyVkzXzxqgL88CclLoPDyKZc4HXbe/d1DtFdXsOGO752ySAPo7OzEZrMxe/ZEKi4/P58PPviAvr4+\nnyPASfGmP0ueBbuR8kN7UOAiv6h4Um3a7oZBNEo5Df0WXtzXys0r/efUHf2sg5G+UeIzdTQc6mPh\npnTCY4MBeLfOSg4Qq7ARHKajcN0GAHLjw9g0OxxXWwmZy1ZgtTbhdlvQHVefVt9nprHfwnWb8xmy\nDdFmauOi7It854OVwcyLmcf+nv1sKdrAwMBHOBz9qFQx0772JcUJhFsOUDeUxf3l0giQswZL2ddZ\nRGJyOT09b5KQcKlv/azFy33/LYoi9fW/Qi5Xk5V1v+/41Q/fw7efWkDUYDd/ihvC+fkn9D30EH0P\nP0zwggWEbtxA2Pr1KKKjOdBsIFSlIG+qqG5cIdr6MUTRyehoM1rtbIpTI3jlYDuKpCyse3fRL4tF\nP9aOQyWJ8v5vgN9nIKIWIECAAN8wSkxSfdpCnRZBEPhhehy9Y05ePj6q5q1PS1qIyyNSP2onNzQY\nLv0PZK9H+OAeIo69yg1rg5g1asAtk6NOmss9r5XzQUX3pGcOWk7SSFD/ETy1AAYbsez6EmViIqrs\n7NN/uU9+AbZhOPcJSQxNwefPP0N71VE23PE98lefPeWa6aivr0cmk5GZOTHE9r9Of44Pv3XVfEhl\nVQ05NKNe41+bNubycKB5iC0Lklg7O5o/ftpAv2micN5ssFPyYStphXo23DYHuUJG6YetANR0mzjQ\nZkauCaW3p2fS4zckuRGA6tEwTOMDa4+PqG2vmEh7lg9INWDe+jQvyxKWccxwDFEtfR4ni6oNDn6G\nXOwjIeZSDISSI2sn66onUam3YDYnUVf/oK+Y/0T6B3ZiGN5DRsa9BAXpfcfD1Er+euV8qhSRPBCx\nlLT3tpHxwfvov/MdXCPD9P3mIRpWrabtmmtRffA2a6Jl/h6wXuLmoLVK4zaO7/wE6NZI9ZHdY9LQ\nW8EzAsDAWECoBQgQIECA/8eUGK1oZDIKxjs4vVG1p9r6J2rVWvdA0kJQqmmxObB7RMk6SqmmcvlT\n7PLM5VHls2QP/JG5Y27E2AKeuXE581PCuee1crZX+AuDypkcCUQRdv0WhhrxvHod1n370K5ZM+0I\njmmpeAPKXpIMzOOmHojr8bhpPLSP/FVnnbZIA6irqyM1NRX1cY4F/3X6M2khhCZQv+cd7G6BudmJ\nEJ7st+RI+zCjY25WZut54Nv5jLk8PPLhxHT/vW81InpEVl6aTXBYEAVrkqg/1MtI3ygv7mtFo5ST\nlZpMd/dk8Wzoasal1PJiuYHB4TIUilCCg9N957cfn/bsL0cpU5IX5e996h3TUWkeQSZTTZqndiId\nHS+iUsVz/orrePk8LU9eOg+y15GZmU111RJkMi2VVXfjcln9rnO7R2loeBitNpfEhCsn3bcgUcfP\nz8vl82P9/HN3M6qsLKLv+g6ZH3xAxvvb0N95J/bBQS7b9zp3/PUe2q65FsMrr+AaGJi4SWQmwU4l\ngihgsUpz8pIjNUSHqjg6IkcbEcmAWUusy82YQ5pHZ3Cd+X6fAaEWIECAAN8wDhmtzAsLRjkeVZgU\nVbONQG+FL+15vHWU0ebkzjdqeFD9Y4zJS7i0fg9FdjuKpEWEqBS8cMMi5qeE893XyvzEWtV4N2Z+\n4hQpp85S6C6D3POxVjYg2u1o155aYb+PwQZ4/3vSzLS1P5t2WV9zI3arhbSi+ad3f6ThtoODg35p\nTy/5+fkMDQ39V92f5QY1oVjI2HjXpCW7GwaQywSWZkaRpg/httUZvFvezYHmITpqDTQd6WfBhlTC\n9JLonvetFOQKGbveb+Ld8i4umJdISnIiJpMJq3VC/FgsFtra2iick4/Z7qa9t4Sw0CIEQfpa96Y9\nvW4BZf1l5Eflo5Kr/PaXG5lLuCqc/T0lhIUVzdhQYLHUMTxygKSka5DJFCxbsZa8uUsAafCt06lB\nobid0dFm6up/6Sd6W1r/hsPRw+xZDyKTTV11dc2SVDbNiePxj+o43DbReKHKzib67rs49tt/cttZ\nP0S8+kZcBgN9v/4NDavX0HbtdZJoGx5BFp1HsDPI11AgCALFqRGUto+QlDeHgQEXchEchjpkHhHT\ndKNtziACQi1AgAABvkFYXW6qLTYW6UL8jvtF1doOgOiZEGoWGzIgS6Pix29X0DNi5/dXLeGRtBz2\nB4cgFz1SdAgIUSl4/oZFzEv2F2uVXUbS9SGETdVIcPDvNNmTePpTD2X2hQgKD8Ehnaf+Uk6bNF1e\noYKLnwP59OXTbUelERMpc+ZOu2Y6vG4Es2ZNNmrPycn5r4bfGpLPoYE0iuIUyCJTJ53f3TDI/JRw\nXwPGnWuySAzX8Mv3qtj1Wh1hejXz1k84HwSHBVGwOpF3KrtxuDxcvyyNhASpZvD4qFptbS2iKLJ6\n8Xw2FYQTRCuq4IkxJt6054aCOKmzc6hmUtoTQCbIWBK/RBp8GzYfs6UGt9s25bt2dP4bmUxF4nE1\naF4iIiKIiIigrVVNevp36e19l56etwEYHW2hvf1Z4uMuIjy8eNrPUhAEHr24kMRwDXe/UkavwUxF\nRQWvvvoqjzzyCIeOVDAcnUTOT35Axgfvk77tPfS3345rcJC+X/+GxrPOxi6moTXbfCM6ABakRtA5\nbEOXkYNtdIwRpxr7YD0qD1jEgFALECBAgAD/Dykzj+IWYeEJQs0vqtbR7atPAzhmtZMRrOLNQx3s\nqOrl/g2zCQsb5MPOzzmy9geSOCqYKDLXqhS8cOOEWPuwsmd6RwJTD9S8y1FnIaNmEyUOgdKcFCzv\n/RiGmk7tpXb+GPqr4aJnTmq51FZZTkx6JsFhJ5/ldiJ1dXXo9XoiIyc3RGi1WtLS0k57+O3Oih6U\nCgWLLpocTRu2jlHZZWRFVrTvmCZIzi+/nUd9n4XPR8ysvHQWCqXc77o565IpU7nJCVYzOy7Uz6HA\nS3V1NVFRUcTExHDLkjHkgof9HbG+8x9W9rBwPO1ZPViN0+NkbszU4nZZwjIGbAOMKuIRRZev3u14\nnE4jvb3vEhe7GaUyYsr7ZGZm0tLSQnLSbURELKWu/gEsljrqxhsIMrN+NMMnKaESPPxoUTC5tiqe\n/vMf2Lp1K93d3ahUKpwdFSxMC0cuExAEAfWsWUR/924ytn9A2ltvIY6NYelUoDXZsNu7cLnMABSP\nN8D0yqR9Dzs0uEfaCEbAdprZ+a+DgFALECBAgG8Qh4xWBKA4LHjSOV9UjQzsyUtAKdVh1VptxMvk\nPLy9lrNzYrh5RQb/qPgHIcoQrppzE8zZAnL/SNnxYu3uV8voNtqZM1Xa8/Dz2J3Q1jNK0eIVFHQM\nYAgK4YW6HI7+8VbEsamjMz4q34LDL0h1adnfmnHpmG2U7vpa0gonR4ZOhteNYKq0p5e8vLzTSn/W\n1dVRX1/P6rVnExYz2YVgb9MgoggrZ+n9ji+L15HhlrM/2EVwunbSdfs6hzHJRHIHPIz0jfocCrwR\nNW/aMz8/H0EQiAySBPGzB4Mx2pw09Jlp6Ldw3nFpT8BPqB0vRr11akfNUmp1qoaC7p438HjsJCVd\nO+3nIaU/nXR19ZCf9wcUCi1Hyq7GYNhNRvr3UAXpp7zO4XBQWVnJa6+9xuOPP07Jrh2kaRzUuqLR\nz9/A97//fZavWUewaKMwxDTpekEQ0BTkE5Saiq1rdFJDQV58GCqFjBqLFKk1OtXIzd2ECjLG5Ge+\nMXtAqAUIECDAN4gSo5XZIWp0ysnpQUEQ+EGCll5FOK+kSt6YVrebNtsYNXVD6LVBPHFJEU3GRj5u\n/Zgrc64kXD31nDKYEGtzk6U1hUknrHU5oPR5moJX43G7SXS4SRk2c/WDjxKflsqn9Rreuv86TAPT\nDDEdbIT375FGcZz185O+e0dNJR63m9TC069Pa2pqwuPxTJn29OLt/jyV9KfT6WTnzp3o9XqWLFky\n5Zrd9YOEqRUUnhCJ3Le1iXX2INwyePTDY5Oue35vKwk6NbNQULqjFZAcCrwRNW/aMz9fciAwmY4i\nVybQY9bwwt5W35DbDQXSqJHy/nLSwtKIVEcy0jfK1icO8+y9u/nkX9W0HB1AHxRNui6dvX1lUxq0\ni6Kbzs6XCA9fRGhoLtORnp6OIAg0NTWhUkWTn/ckTucwWm0OiYlXT3mNxWLhz3/+M2+//TadnZ0U\nFxdzww038LMf/ZDI2Yv44wED5Z1G+uR6DB4Nrq4aPJ6p05XqwkLsDR2EWKXz3oaCIIWMouRwSvuc\nKFQqBlxa1JYBwhWSMbt17MxuKAgItQABAgT4huAWRUqN1kn1acezYuQoi40VPCXPxe72UGexIwKW\nARtPXTmPiJAg/lHxDzQKDdfmTR8d8aJVKXjxxkU8e20xi9NPSBlWvwvWfuptiYRFx6A6XIamsJDI\nWTlseeRp1i1LpKfPxIv33kbFpzv9IxdOO7x5PciDYMtzkyJ6U9FWUY5CpSJh9vRiYTrq6up8bgTT\nvutppD/37t3L8PAwmzZtQi6XTzoviiK7GwZYlqlHIZ/4qu08ZqCxtJ9169O4bVUmW8u6/BwLantM\nHGwxcN2yNOasTqL+oNQBGh8fj9FoxGq1+qU9AUzGcqIi5rI+L5Zn9zTzblmXL+0piuL4oNu5lH/a\nzmsPHcLQbSW1IIq2qiE+fLqSf923h6SR2ZR0lxKiLcJo9DdoHxz8HLu9c8ZoGkjepElJSTQ1SRG+\nyMjlzJ/3EkWF/5y2geDTTz/FZrNx9dVXc++997Jx40ZSU1ORyWQ8tqWQ+HA1d79SxsfVfdQJyViM\nw1RVVU15L01hIa6BAeRiCnKP3G9MSHFqBNU9ZkL1MQx7QtDZjEQqFBAkw3CG+30GhFqAAAECfEOo\ns9oxuz2T6tOOR2jfww/bX6LHLeOVniGer5CK+m+bl8yC1Egah6Vo2lW5V80YTTserUrB2hQt7pER\nXMPDEz+7nsYalE1rYzsZOQU4Kqt83Z6CIFB011+4bpmbuCADn/zzL7z9yC8xDY5H1z76CfRVwoX/\nOGXz8taKMpJzC1AoTy7qjsfj8dDQ0EBWVtaUoup4vOnP/hmsjIaHh9mzZw/5+flkZGRMuaZ50Eq3\n0e6X9nS7PHz1Wj1hejXzz0nlO2snGgtc492HL+5rRa2UcdnCZF8HaOmOVl9DQWNjo1/a0+EYwO7o\nRhc2V3IrsLtoHRrl3DlS2rPF1MKIYwSxLIK9bzWSnBvJFQ8sZv1N+dzwuxV8++4isubHEN6Sxpjo\n4KsvRnG5TNSXleJ2Snvq6Pw3KlUc0fqZU9MgpT+7u7sZHZWssCIilqBWTz1AuaOjg/LycpYsXkJW\nVhayE+bm6TTSfLV+s53tlT0kpmURGxvLl19+OWVUTVMkDfu1O5L9rKQAiscN2kVtJGanBv2Ygyil\nAHIZPWe4jVRAqAUIECDANwSvEftMETVa97AiVMFiXQhPtvTybusgco/I/SulgaanE03zYnz/A+qX\nLKFh6TL/n6f72Pe+DI/bTfC//g3gP5ZDrkR3zXNsyWpl3Wwb3XW1vPzTe3GWvS4Zri+/B2atP6U9\nmAb7Ge7u/K/SnlO5EUzHqQy/3blzJ4IgsH799HvfXS/N91qVPdFIUPF5J8O9o6y4dBaKIDmaIDm/\nOC+XY71m/nOgjWHrGO+Wd3HhvETCg4MI0anIX51I/aE+ghWSqN61axeiKJKXJ81Dmxh0W0RBoo71\nebEIAmwsiMPjEdm26zMAdN1JrLs+l013zCFEJ43okMtlpORHcda1ufzkJ9ehEBR0RUiyoOTTD9n2\n53LMljqGh/eRlHj1tFGx4/EK15aWlhnXeTwetm/fjkYVTPMOuW/I74kUJoXz001SBHVJZhSrV69m\naGhoyqiaKicHQanEPqJBa7RisRzzRUbnp0iNBCZFGFa7gninC61Cqp9sM9sn3etM4oywkBIEQQe8\nBsgBK3AZ8DSQB2wXRfGhr3F7AQIECHBGUGK0EhOkIEUdNPUCuxF6jiKsuo87EvRcX9sGCcHMCdWg\nkMtoHG7ko9aPuGnOTaccTXM0NdHzy1+iKSgg7LzzJk6UvwL9NVSELSPEYmbW93+IMjoa9ewTasDC\nUxAufJqi164gfPVVvPVxO42vPERuzmI46xen/O5tFdJk/dTC0x/LUVdXN8mNYDq0Wi2pqanU1NSw\ndu3aSUN76+vrqaurY926deh003ee7m4YJDUqmORIqenDOuKgZHsLqXOiSC+ciLKdkx/Hymw9T35c\nT9ewDbvTw3XL0nzn530rheovu6j6rIfIyEgMBgNRUVHExkodniZTOYIgJzRUGs3xyEVzuK43jSCb\nh3f/cYQ9HCQ4Wsud95+PNmJiyO+JhKq1zI2ZS6Ozmw3KSFLm9VL59gjHKl5FJgsiIeGyk352AImJ\niahUKpqamnw1dFOx58v99Pb2EjqSi0KmpOTDFrKKYwiPmdwkc/2yNBLDNSzP0qNRyoiJieHLL7+k\noKDALwonCwpClZuLrcuKNs9Nl9uMw9GLWh1PeHAQ2TFaOkc0JLhA5pIT6u4HYugaDUTUToWrgCdF\nUVwP9AKXA3JRFJcCGYIg/Bc+JAECBAjwvwuvEfu0E//bpflpYupytn3egmzYATKBOeMdotNG09xT\n2+h4bDa6vvd9ZBoNiX/6E5FXXyX9bF5HZNhBgi+6mG7DEDlnrSfqmqsJ23DO1PvK2QRL7yKl/WV0\nKidVw1Hj89ImpzBd7jHGXJM7RVsrytBGRBKVlILH45m2oHwq6uvrSUlJQaPRnNL6/Px8BgcHJ6U/\nnU4nO3bsmNRA4DUA9+K1jVqZPSHI9r7diMctORAcjyAI/Or8fOwuN8/uaWFxeiQ5cRPdtSE6Ffmr\nEqk71Ic+UqpJy8vL8/0OGE1H0YbkIJdLIiwyOAhtm43XHzqEoceKKbGLhckLZhRpXpYmLKXWcIzg\n0ELkIXWExboxWrcTG3M+QUEn93gFkMvlpKen09TUNGWdnyiKHP60kS+++IIgZzjrL1zOFb9cjFwh\nY/frDVNeIwgC6/PjCFEpkMlkrFmzZsqo2ph7DE1hIbamLkIs452fVv/05zHrROdnuKMNgB7bmW0j\ndUYINVEU/yaK4ifjf4wGrgbeGP/zx8CKr2VjAQIECHCG0Otw0mEfO0naczfIg3i1J44PK3q4KkKK\nmuVrNTSNNPFR60dcmXslEerj5mB1l8OjqbDnD5Of+fDDOBobSXj8cZSxxxl1H34ePE6alAvwuF3M\nXrry5C9w9gMIScXkhXbTbtFick0tHN7YdwmffFlET8+7vi9tj8dNe2W5L+35yiuv8Ne//hWTafKo\nhhMxGAwMDAycUtrTy3Tpz3379jE8PMzGjRtRKKQvfIulnt17FtHTs9W3rqx9GOuYm5Xjac/WikEa\nSvqYd04KuujJEaOMaC23jBu1X39cNM3LvPUpyOQCziEpZemNVImiB5OpgrCwIrobR/jq9Xr+/ZO9\n7HmzgcScCDbcP5seZ+eUg26nYlnCMgCGxHDs9nay136FIHcgt59/Std7yczMxGg0MjQ05HfcNGRj\n25/K+eTjTxBlbq64/mLmrE4iJFzFovPSaa8eouXo4Envn5OT44uqeQV7SW8Ji19ZzEB6OKLNjnJY\n+t0/vk5tQWokvaI0DsXoVBNmbQbOfGP2M0KoeREEYSkQAXQAXeOHDUDsNOtvFQShVBCE0oHj/b4C\nBAgQ4H8Z3vq0mRoJaN2DNXouD+5oZs3saB5bPYs3ijK5PD6Sfxz9B2qFenI0bf9fwWmFTx+EPX/0\nHTZu24bxrbeJuu1WtCuWT6x3jUn1ZVnfor6qnlB9NHFZ04+88KEIgqveJO+mx0CE2t1fTFpisvUQ\nOVYFopua2h9QUXk7DscA/S3N2C1mUgvnUlVVRWNjIwaDgRdeeOGkYm0mN4LpOD796RWLw8PD7N69\nm7y8PF8KVRRF6uofxOUy0dT8JB6PlELb3TDos40yG+x8+mIN+mQtCzZMdi7w8r11s3juumLfSI3j\nCdGpKFiViKUulIvPv4y4uDhEj0jrsaO43RYqPgrmnSeOULO7m9h0HRtvm8O5dxbSMCaNGTlVoZYb\nmYtOpfPNU7N6XsMxMouKj1WnNWvM+/l4uz9FUaTqqy5e+/UhOto7sAf3sWzZUtKzJ3xR56xNIjIh\nhD1vNuA6ybgMmUzmV6vm9Dh56MBDuDwujkRJQ26do8monHIslnrfdTlxoZgUoQAYx9RojdL+hpyu\nU363r4MzRqgJghAJPAXcCFgAb4xayzT7FEXxGVEUi0VRLI6Ojp5qSYAAAQL8r6DEaEEjE5ijnRyR\nAcBuROw5yltDaUQGB/H7S4qQyQRWRYbSa25lZ+tOrsw5IZpm7oPqd2DhzVBwMXz6AOz5I47mZnoe\n/BXBxcVE33XCxP2a98DSh73wetoqypi1eDmCICCKIi6XZeaXCI4kfP4mkvIKqP7y00lf/vuOPYZS\ngD/1q7HrzsNg+IoDBzfQWPs8IBI3O4+PP/6Y+Ph4brjhBiwWy7Rizeow0GZspKK2Al2EjtGgUTrM\nHX4/nebOaQXIielPbwPBOedMpHf7+t5nZOQgsTHn4XD00D1umbS7YYC5yeGEKOV8/Gw1HrfIOTcX\nTHIgOJ4ghYyzc2OnTWvPW5+CXK6gff8Yu9+o58Wf7mPvex8AEKot5Fs35XHjEyvYePscMuZFIwgC\nZQNlKGQK8vXT14odj1wmZ0n8Ej7tq0cmCwI8xEZdRX+rifZqw0mv9xIZGUlERARNTU2YDXbe/3M5\nX75SR3RqKLLMLkJDQ1m9erX/s+UyVl02C/OQncMftZ30Gbm5ub6o2kvVL9FsbEaj0FCi6ECu02Ef\n1qA1O7BYJubUpelDcMqCQB2CwaVBa2pH8IiMnOF+n2eEUBMEIQh4E/iJKIptwGEm0p1FQOvXtLUA\nAQIEOCM4ZLQy9zgj9hMR2/YjiB4+Gc3mqSvnEaWdMN/2RtOuy7/O/6LxFCaL74ALn4GCi/HsfICu\nW69BplKR8PsnEBQn9Jwd/DtEZtJkUON2uZi1RPpfdW/fe+zes5jR0daTvkv+6nUM93TTXT/xJerx\nuBgzfEybU4NDrmefTcuihR8QHJyOI/h1Zl8wTEnZl5jNZjZt2kRKSgrXXHONn1hzucz09L7L0Ypb\n2btnEdUl5xCqeY3+0I/Y/M5GNm3d5PezcetG7t1175Ri7fjht94GglWrVvkaCFwuC42NjxIaWkB+\n/pPowubR2vo3DBYLFV1GVmbrOfheM73NRtZenUN47DQC+xTxRtVaK4eo/qqbmNRQspaNIJdr2XDj\nRmYtjCNI7f93Vd5fTl5U3iQj9plYGr+UntEBlME5qFRxFC69hNAoNYc+aDmtqFpGRgYtLa288duD\n9DSbWH3lbJJWuukf6GP9+vWoVJP3lDg7guyFsZR91I5xYHTG+x8fVXtv73usSlrF+tT1VA5VoS6c\ng63LhtY6hnW00VdDqFUpiAlVMaYJx+AKIcQ6RJBbxHwa9Y5fB2eEUANuAuYDPxMEYRcgANcIgvAk\ncCmw/WvcW4AAAQJ8rVjdbqosNhbpJtsNeak9sAOHqGDl2o0sTJso/G4aaZo6muZLYa4DfZZkhH7h\nM/S1zsXRaSDh+mUoY0+oOuk8DF2lsPg26g/uJTQqmvhsqfarr+8DPB47ra1/O+n7zFqyHKVKTfWX\nn/qONXa9RYjgQBHxLRbELqC0t5SQkEwK81+g52Ac6phBPOIDLFwo+obWJicnc8WVF6JSl/PZ5xfz\n1e6F1NT8AKOpkt0WOQNjmYSH97IurYHHk908MXs2j86/jIeXPcDDKx7mmrxr+LT9U/5T859Je/Sm\nP6uqqtixYwdRUVEsXbrUd76l9SkcY33MnvUrBEFOevo9OBw9HKr+D6IIWTIlZR+3k78qkeziKat3\nTpvFmzM49zuF3Pi7FWy6oxCZpoGwsEIEYfJX+Zh7jOrBauZFn57dltdOql29lvnzXkIZpGLBhtTT\njqplpGfgdI4x6h5my/0LSF8QzmeffUZaWhoFBQXTXrf84ixkcoHdbzSc9Bm5ubl4QjxkDmVy/4L7\nKYwuxGA34MxJx9E5QLDJjSi6GLW1TuwrOgSTIgyTU43ObkYtClgJCLWTIori06IoRoiiuGb850Vg\nDXAAWCuKovHr3WGAAAECfH2UmaY2YvdS023C1bybFnUut0181G0AACAASURBVJzl/yX4j4ppomnj\nKUwW3+47ZPxwByOl/UStSkDb80/Y+2f/aw79A4K0OLI3S2nPJcsQBAG328bw8D5kMg29fe+eNKoW\npNaQvXgZdft24xyT6rrqW/6OwSWwJuceimOL6bZ202Xpoqu2lt7yCNqbr8Lh0KHWvERl1Z309Gzl\naMVttLZeRFbWl6hUfQwMFJCb8wKW+J/x7kgQHtMVHC2/mqLCF0iKvxiNsw31wPOEdf+KDNtnXJda\nyNnJa/jDkT9QOVA5aZ/e4bdeBwJfA4G1gY6OF0iIvxSdThoXEhm5grCwebjML6BTifRs7yAqScuK\nS7Jm/CyO52SpY2WQnLQ5eoI0CtxuOxZLHbqwoinX1gzVMOYZO+X6NC8J2gTSwtLY03+M4OB0AHKW\nxhMaqaZk+6lH1Ybr5SBC7DwZUYlaPvvsM8bGxti0adP0XctASLiKheem01Y5REvFzI0Fh/sPcyjk\nEKHOUEwdJgr00u9+R5IaPB4UvVJX8fENBel6Lb1iMKMOBdEOByGIOM4IJTQ9Z+z2RFEcFkXxDVEU\ne7/uvQQIECDA10nJeCPBVEbsFoeL+17eQ77QQsq8byE7LjXaPNLMzpadXJ5zuX80DSTRFZkJmWcD\n4GhuoeeBB9EsWED0U9sh/0L45Bew7ylpvbkPqrbC3KtoqqoZT3tK3Z6G4X14PA5eHhQA+SlF1fJX\nr2PMNkpjyQHM5lo0rg5aSSMlLI2FcQul9+4tobXiCGJEDO1dInGxT5KVeT9DQ7uoqb0Ps7mKxMSr\nKF7wJvl522hqnM9bb5Wxr/UAuiAdA+0DZGfPRq9fSU7OQ6xYvp95c/9NbOz5GIb3UlX1Ha4I7SZJ\no+eHX/4Qo8M/JuBNf+bm5vo1ENTXPYhcHkJm5g99awVBID3tbjSyQc6NO4ToEtlwy8x1acfT0flv\nvtq9AINh7ymtN5urEEUXYWFTz5XzGrEXxUwt5GZiacJSSvtKGXOPASBXyFiwMZW+FhPtNSePqnXU\nGDj6STeh6iiM9j46Ozs5cuQIixcv9tlezUTh2UlExIew5436aRsLnB4nDx94GGJAH63nyy+/JFOX\niUquojxaErzCYDyCiJ+VVIY+hH5RiygKqMYUhGDHKRfOaGP2M1aoBQgQIEAAiUPjRuzhJxixi6LI\nT7dWEjtyBDkegmet8Tv/94q/o1aouT7/ev8bdh2GzhJYdCvIZHjsdrq+/31kKhWJv38CQaWGi56F\nvAvg459LYu3wC1I926JbqTuwxy/tOTj4GU4UlFpF2oTU8ajazAXhyXkFhEXHUL3rU442/pExD2Sl\n3ABAZngmEaoISnpLaDlajiMumbi4OBYuXExq6m0sWfwJxcVbWb5sN7Oyf45ON5/U1DSuvvpqLBYL\nYwfHWK5YzujoqF+3p0ymIDJyObk5D7Ni+QFycx/DaqnkviQVRnsfv9j7C78v7NDQUG655RYuuOAC\n37H+/u0MjxwgM+MHBAVF+b2T0TOfppE0liTvYPVVGadcl2YyVdDQ8Aii6KKu/kE8nrFTuGbCkWAq\nyvrLSAlNQa/RT3l+JpYlLMPmslHeX+475ouqnaRWzWp08Mnz1UTGh1C0MI/u7m62bdtGaGgoa9as\nOaXny+UyVl0+C9OgnSMft0+55pXaV2gyNvGjRT9i7Zq1DA4OUl9bT15UHoftDShTUnAMBRNsF/0a\nCjKiQzApvZ2fGiI8I4hBMkbPYGP2gFALECBAgDMYjyhy2GRlYdjktOdrJR1sO9rNXem9krl50kLf\nOW807YqcK4hUnzCs9OAzEKSFuVcC0PfIb3HU1ZHw+GMo48bHQ8gV0lBar1jb8wfIWocjOJ62o0d8\naU9R9DA4+AUNdiWCTMlznV2AnNa2maNqgkxG3qqz6awvZdTwBeV2FeszJUEkE2QUxxVT2VxKn9OD\nC4Fzzz3XN4Veo0lCF1Y0qTYrJSWFNZvXoHQq0dRoEASBrKypU48ymYKE+C3k5/8Rl62eX6ZGsK/z\nc16ufdlvXUJCgq/w3eWy0NDwCKGh+SQmXj7pntt2t/Ne00ZCgg1oE/fM+P5enE4TlVV3owqKJi/v\n94yONtPR8fyUa90eN/2jUheq0XQUtSoBlWryxANRFDk6cJS5Mafv4gCwMG4hCkHBvu59vmPHR9U6\nxqNqHocb0TVR3+XxiHzyXDVOh5tzbi5g1qxsRFGkv79/2gYCALfViejxF39JsyPIKo7hyM42jAP+\nA5AHRgd4+ujTrExcyZrkNeTm5hIdHS25FUQVUGuoRTWnAFuXjRDzGBZzre/adL1UowZgdKqIcPeD\nXEaX6cy1kQoItQABAgQ4g6mz2jG5JhuxG0ed/Or9alZm65nnqYbEBRA0EcGZtjbN0g9Vb0siTR3G\n6JEyRt54g6hbbka78oTBtXIFXDweWXPZYPEdNJUe9Ov2NJurGRvrp8zq5s6iO3GglqJqve+cNKqW\nv+osomaPIBfciGFrCVFOvGNxbDHBbS7GomLJzc4iOTl5hjtN0CQ0sTduL0qFkvT09JO6EcTGbCI/\n/4+oXV3cl6TmL0eeoGpwso8kQEvrX8YbCB5EEPxTmpZhOzsOdtJjyCM0tIjW1r+dNDImiiK1x36M\nw9FLQcGfiY+7AL3+bFpa/4Ld3uP/bGML1++8nrPfPJtHDz2K0VhOmG5qIdZmasNgN5x2fZqXEGUI\nC2IX8Hz189z00U28fux1Bm2D5CyNRxup4tAHLbitY/T94TD9fz/qE2sl21voqh9h9RWziUwIITEx\nEbVaPWMDwVi3hd5HDzH0YjWi07+of/nF2QhygT1v+jcW/P7w7xlzj/HjRT9GEARfB+jg4CBJtiQc\nbgfmrFhcwxaCR9zYx3p89X/JkcHYgkJBEDA61ejHpOqqVstkN4wzhYBQCxAgQIAzmJJpjNjfr+jG\n7vTw47WJCD3lkDZh4NJsbGZHyw4uz7l8cjTtuBQmgPGdrQjBwehvv50pkSulyNrteyF7HXUH9qCN\n0hOf5U17fo6IQI1dzjlp53B5zuWnHFULi4kmusjISK+Gs7P8B/EWxxaTYS9AEEXO3XzBNHeYzL7u\nfYTGhHL33Xdz8cUXn9I1sTGbyM/7A3pM3B7t5Cdf3otpzH82m9XaSEfH88THb0Gn8zeG97g97Hi2\nilbBxVkF8WRm3IPd0U3P+Fy16ejs/DcDAx+RmXkfOp0kqmZl/wJRdNPQ+FtAiqK9WP0il7x/Cc3G\nZjamb+S9updwOLowCVPbOnnr0/5boQbw25W/5ZY5t9A/2s9DBx/i7DfP5tbPbmF4eTWtHV10/6sa\nt2kMZ6eFke3NdNQaKP2wlZylceQsjQckO6mbb76Zyy67bMoGAo/dheGVYyCXYa8bZuilGr8InTZC\nxcJz02itGKS1UmosKOktYXvzdm4suJGUsBTf2tzcXLRaLY4OqTmlKUGSN4oe6blWqzT4VimXkRQV\nilMdxsiYmmi7NFu/w3rydPPXRUCoBQgQIMAZzCGjFb1SQZrG34j97SOdzI4NJc9VA6LHT6h556ZN\nqk1zjUHJc1IDgT4bj82G6cMdhJ1zDrKQGRwP5AqIK8AxaqXt6BFmL1mOMJ6GHBz6jBEiCVHHkhya\nzPX51/tF1Wy2qWuMvNcqNQ6Gj0aSZAn1O+foshOkjEAmGNBqpx9Lcjxj7jFKe0tZmrCUILkG5Unm\nhw1bx3CODzuNjT2XgvwnSVaOcX5wK7/a81NfLZbkQPAr5PJgsjLv87uHKIoc3NbMkdZhxgRYVxRH\nZOQqwsLm0tr29LRRNZOpgobGR9HrzyYl+SbfcY0mmdTU2+nv305Nx1au33k9T5Q+wdL4pby7+V0e\nX/U4v18iDSF+vOItHj30KKNO/5lj5QPlhAWFka5LP6XPbSqig6O5a95dbLtgG2+f/7ZPtD03+BT/\nLv4FP5E/zOcrahCWRWDd30PF89VExIWw6nJ/qy69Xj9lVFMURYa3NuAasqG/No/wC7MksfYff7FW\ndFYyEXHB7H69HpvDziMHHyEhJIGb5tzkdz+5XE5hYSEdzR3EKmI5FDYISiXybslKyuLX+RmCWRmG\nwRVMrK0TgO4z2Jg9INQCBAgQ4AymxGhl0QlG7I39FsraR9iyIAmhbQ/IlJC0CDhJNK12G1h6fSM5\nzJ9+isdqRXfhqUWsmg4f8kt72h29mM3VlFldFMcWIwgCUZooLpt9mS+q1jJDB2hz67MYXALG7nBq\nvvzcd9zhcLBzx05k9lGawppPaW8gDXi1u+0silnCm78t4T8/30/j4f4p1w5ZHJz1+11c+9wh3OP1\nUbGx51GQ/wfSVR5m2z/i1RqpVqx/YAfDw/vIyLiXoCA9oijS12Ji79uN/Odn+znyUTvWjGBkAizN\n1CMIAhnp38Vu7/LzAPXicpmpqrqHoKAo8nIfnxRtSkq6CZc8nPKaH9FmbOKRFY/w57P+THSwVI8W\nKx8F5CxJu5SXa19my/tbONx32Hd9WX8Zc2PmIptivtrpIggCsyJm+UTba8X/5rKhDfTJR/jdwFM8\nrPkbFqWMPEHkW5dkoVSdWper9VAvtopBwtanosrQoV0cP6VYkytkrBxvLPjjh8/QONLI/YvuR6OY\nLP6KiorweDzMc8+jwliLOicHV0cIcre/OXu6PoQBQjA51SRZJKHWaz9z/T4DQi1AgAABzlD6HU7a\n7GOT6tPePtKJXCaweV4CtO6BpGJffdozFc9MHU0DOPgPiMyQhtwCxnfeQZmURHBx8Sntp/6EtOfQ\noOTXecjk8I3UALi+QIqqtQup9PZunTKqZrHUYTUfYY9FQer8hX4z1b766iuso6Ooe9uoDpXmqZ0K\n+7r3oRAUKCtiMA3a0WiVfPTPKj76ZxU2s39k67GdxxixOdnfPMSfPpuogYqNPY+CvD+SofJgaX+U\nip49NDQ8jFabi9J5niTOfr6ftx4rpeLzDiITQjj7ulza1SJzk8PRaaTZXVJUrYjWNv9aNVEUq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op4Ygj7h6XlpfHKk8gofMg6SBwxHFi3C7Ppza1BqKvy8ktFSHOa8FxALk0Z4oB3uhSHDWsRuf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      "text/plain": [
       "<matplotlib.figure.Figure at 0x16ca0390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 电影类型随时间的变化趋势图\n",
    "fig = plt.figure(figsize=(10, 8)) # 设置画图框尺寸\n",
    "ax1 = plt.subplot(1, 1, 1)# 设置图的位置\n",
    "plt.plot(genre_year60) #画折线图\n",
    "# 设置图形格式\n",
    "plt.title('电影类型随时间的变化趋势图', fontsize=18)\n",
    "plt.xlabel('年份', fontsize=18)\n",
    "plt.ylabel('数量', fontsize=18)\n",
    "plt.xticks(range(1960, 2017, 10))# 设置x轴的刻度\n",
    "plt.legend(genre_year60)\n",
    "plt.show()\n",
    "fig.savefig('film genre by year.png', dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Action</th>\n",
       "      <th>Crime</th>\n",
       "      <th>Thriller</th>\n",
       "      <th>Music</th>\n",
       "      <th>Fantasy</th>\n",
       "      <th>TV Movie</th>\n",
       "      <th>Animation</th>\n",
       "      <th>War</th>\n",
       "      <th>History</th>\n",
       "      <th>Western</th>\n",
       "      <th>...</th>\n",
       "      <th>Adventure</th>\n",
       "      <th>Documentary</th>\n",
       "      <th>Family</th>\n",
       "      <th>Science Fiction</th>\n",
       "      <th>Drama</th>\n",
       "      <th>year</th>\n",
       "      <th>id</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2009</td>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2007</td>\n",
       "      <td>285</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Action  Crime  Thriller  Music  Fantasy  TV Movie  Animation  War  History  \\\n",
       "0       1      0         0      0        1         0          0    0        0   \n",
       "1       1      0         0      0        1         0          0    0        0   \n",
       "\n",
       "   Western     ...      Adventure  Documentary  Family  Science Fiction  \\\n",
       "0        0     ...              1            0       0                1   \n",
       "1        0     ...              1            0       0                0   \n",
       "\n",
       "   Drama  year     id                                     title  vote_average  \\\n",
       "0      0  2009  19995                                    Avatar           7.2   \n",
       "1      0  2007    285  Pirates of the Caribbean: At World's End           6.9   \n",
       "\n",
       "   vote_count  \n",
       "0       11800  \n",
       "1        4500  \n",
       "\n",
       "[2 rows x 25 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genres_df['id'] = merge_df['id']\n",
    "genres_df['title'] = merge_df['title']\n",
    "genres_df['vote_average'] = merge_df['vote_average']\n",
    "genres_df['vote_count'] = merge_df['vote_count']\n",
    "genres_df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 删除评价人数小于100的电影\n",
    "genres_df = genres_df[genres_df['vote_count'] > 100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# genres_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# # for line in locals()['In']:\n",
    "# #     print(line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>tagline</th>\n",
       "      <th>overview</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1881</th>\n",
       "      <td>278</td>\n",
       "      <td>The Shawshank Redemption</td>\n",
       "      <td>8.5</td>\n",
       "      <td>Fear can hold you prisoner. Hope can set you f...</td>\n",
       "      <td>Framed in the 1940s for the double murder of h...</td>\n",
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       "    <tr>\n",
       "      <th>3337</th>\n",
       "      <td>238</td>\n",
       "      <td>The Godfather</td>\n",
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       "      <td>An offer you can't refuse.</td>\n",
       "      <td>Spanning the years 1945 to 1955, a chronicle o...</td>\n",
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       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>550</td>\n",
       "      <td>Fight Club</td>\n",
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       "      <td>Mischief. Mayhem. Soap.</td>\n",
       "      <td>A ticking-time-bomb insomniac and a slippery s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1818</th>\n",
       "      <td>424</td>\n",
       "      <td>Schindler's List</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Whoever saves one life, saves the world entire.</td>\n",
       "      <td>The true story of how businessman Oskar Schind...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2731</th>\n",
       "      <td>240</td>\n",
       "      <td>The Godfather: Part II</td>\n",
       "      <td>8.3</td>\n",
       "      <td>I don't feel I have to wipe everybody out, Tom...</td>\n",
       "      <td>In the continuing saga of the Corleone crime f...</td>\n",
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       "    <tr>\n",
       "      <th>3865</th>\n",
       "      <td>244786</td>\n",
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       "      <td>Under the direction of a ruthless instructor, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3719</th>\n",
       "      <td>510</td>\n",
       "      <td>One Flew Over the Cuckoo's Nest</td>\n",
       "      <td>8.2</td>\n",
       "      <td>If he's crazy, what does that make you?</td>\n",
       "      <td>While serving time for insanity at a state men...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2170</th>\n",
       "      <td>539</td>\n",
       "      <td>Psycho</td>\n",
       "      <td>8.2</td>\n",
       "      <td>The master of suspense moves his cameras into ...</td>\n",
       "      <td>When larcenous real estate clerk Marion Crane ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4535</th>\n",
       "      <td>346</td>\n",
       "      <td>Seven Samurai</td>\n",
       "      <td>8.2</td>\n",
       "      <td>The Mighty Warriors Who Became the Seven Natio...</td>\n",
       "      <td>A samurai answers a village's request for prot...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1663</th>\n",
       "      <td>311</td>\n",
       "      <td>Once Upon a Time in America</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Crime, passion and lust for power - Sergio Leo...</td>\n",
       "      <td>A former Prohibition-era Jewish gangster retur...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4602</th>\n",
       "      <td>389</td>\n",
       "      <td>12 Angry Men</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Life is in their hands. Death is on their minds.</td>\n",
       "      <td>The defense and the prosecution have rested an...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>13</td>\n",
       "      <td>Forrest Gump</td>\n",
       "      <td>8.2</td>\n",
       "      <td>The world will never be the same, once you've ...</td>\n",
       "      <td>A man with a low IQ has accomplished great thi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3057</th>\n",
       "      <td>73</td>\n",
       "      <td>American History X</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Some Legacies Must End.</td>\n",
       "      <td>Derek Vineyard is paroled after serving 3 year...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>497</td>\n",
       "      <td>The Green Mile</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Miracles do happen.</td>\n",
       "      <td>A supernatural tale set on death row in a Sout...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1847</th>\n",
       "      <td>769</td>\n",
       "      <td>GoodFellas</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Three Decades of Life in the Mafia.</td>\n",
       "      <td>The true story of Henry Hill, a half-Irish, ha...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>155</td>\n",
       "      <td>The Dark Knight</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Why So Serious?</td>\n",
       "      <td>Batman raises the stakes in his war on crime. ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>157336</td>\n",
       "      <td>Interstellar</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Mankind was born on Earth. It was never meant ...</td>\n",
       "      <td>Interstellar chronicles the adventures of a gr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3866</th>\n",
       "      <td>598</td>\n",
       "      <td>City of God</td>\n",
       "      <td>8.1</td>\n",
       "      <td>If you run you're dead... if you stay, you're ...</td>\n",
       "      <td>Cidade de Deus is a shantytown that started du...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4238</th>\n",
       "      <td>3082</td>\n",
       "      <td>Modern Times</td>\n",
       "      <td>8.1</td>\n",
       "      <td>He stands alone as the greatest entertainer of...</td>\n",
       "      <td>The Tramp struggles to live in modern industri...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2453</th>\n",
       "      <td>207</td>\n",
       "      <td>Dead Poets Society</td>\n",
       "      <td>8.1</td>\n",
       "      <td>He was their inspiration. He made their lives ...</td>\n",
       "      <td>At an elite, old-fashioned boarding school in ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          id                            title  vote_average  \\\n",
       "1881     278         The Shawshank Redemption           8.5   \n",
       "3337     238                    The Godfather           8.4   \n",
       "662      550                       Fight Club           8.3   \n",
       "1818     424                 Schindler's List           8.3   \n",
       "2731     240           The Godfather: Part II           8.3   \n",
       "3865  244786                         Whiplash           8.3   \n",
       "3719     510  One Flew Over the Cuckoo's Nest           8.2   \n",
       "2170     539                           Psycho           8.2   \n",
       "4535     346                    Seven Samurai           8.2   \n",
       "1663     311      Once Upon a Time in America           8.2   \n",
       "4602     389                     12 Angry Men           8.2   \n",
       "809       13                     Forrest Gump           8.2   \n",
       "3057      73               American History X           8.2   \n",
       "690      497                   The Green Mile           8.2   \n",
       "1847     769                       GoodFellas           8.2   \n",
       "65       155                  The Dark Knight           8.2   \n",
       "95    157336                     Interstellar           8.1   \n",
       "3866     598                      City of God           8.1   \n",
       "4238    3082                     Modern Times           8.1   \n",
       "2453     207               Dead Poets Society           8.1   \n",
       "\n",
       "                                                tagline  \\\n",
       "1881  Fear can hold you prisoner. Hope can set you f...   \n",
       "3337                         An offer you can't refuse.   \n",
       "662                             Mischief. Mayhem. Soap.   \n",
       "1818    Whoever saves one life, saves the world entire.   \n",
       "2731  I don't feel I have to wipe everybody out, Tom...   \n",
       "3865    The road to greatness can take you to the edge.   \n",
       "3719            If he's crazy, what does that make you?   \n",
       "2170  The master of suspense moves his cameras into ...   \n",
       "4535  The Mighty Warriors Who Became the Seven Natio...   \n",
       "1663  Crime, passion and lust for power - Sergio Leo...   \n",
       "4602   Life is in their hands. Death is on their minds.   \n",
       "809   The world will never be the same, once you've ...   \n",
       "3057                            Some Legacies Must End.   \n",
       "690                                 Miracles do happen.   \n",
       "1847                Three Decades of Life in the Mafia.   \n",
       "65                                      Why So Serious?   \n",
       "95    Mankind was born on Earth. It was never meant ...   \n",
       "3866  If you run you're dead... if you stay, you're ...   \n",
       "4238  He stands alone as the greatest entertainer of...   \n",
       "2453  He was their inspiration. He made their lives ...   \n",
       "\n",
       "                                               overview  \n",
       "1881  Framed in the 1940s for the double murder of h...  \n",
       "3337  Spanning the years 1945 to 1955, a chronicle o...  \n",
       "662   A ticking-time-bomb insomniac and a slippery s...  \n",
       "1818  The true story of how businessman Oskar Schind...  \n",
       "2731  In the continuing saga of the Corleone crime f...  \n",
       "3865  Under the direction of a ruthless instructor, ...  \n",
       "3719  While serving time for insanity at a state men...  \n",
       "2170  When larcenous real estate clerk Marion Crane ...  \n",
       "4535  A samurai answers a village's request for prot...  \n",
       "1663  A former Prohibition-era Jewish gangster retur...  \n",
       "4602  The defense and the prosecution have rested an...  \n",
       "809   A man with a low IQ has accomplished great thi...  \n",
       "3057  Derek Vineyard is paroled after serving 3 year...  \n",
       "690   A supernatural tale set on death row in a Sout...  \n",
       "1847  The true story of Henry Hill, a half-Irish, ha...  \n",
       "65    Batman raises the stakes in his war on crime. ...  \n",
       "95    Interstellar chronicles the adventures of a gr...  \n",
       "3866  Cidade de Deus is a shantytown that started du...  \n",
       "4238  The Tramp struggles to live in modern industri...  \n",
       "2453  At an elite, old-fashioned boarding school in ...  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drama = genres_df[genres_df.Drama==1][['id', 'title', 'vote_average']]\n",
    "drama['tagline'] = merge_df['tagline']\n",
    "drama['overview'] = merge_df['overview']\n",
    "drama.sort_values(by='vote_average', ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>278</td>\n",
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       "    <tr>\n",
       "      <th>3337</th>\n",
       "      <td>238</td>\n",
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       "      <td>1972</td>\n",
       "      <td>8.4</td>\n",
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       "    <tr>\n",
       "      <th>1818</th>\n",
       "      <td>424</td>\n",
       "      <td>Schindler's List</td>\n",
       "      <td>1993</td>\n",
       "      <td>8.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3232</th>\n",
       "      <td>680</td>\n",
       "      <td>Pulp Fiction</td>\n",
       "      <td>1994</td>\n",
       "      <td>8.3</td>\n",
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       "    <tr>\n",
       "      <th>2294</th>\n",
       "      <td>129</td>\n",
       "      <td>Spirited Away</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2731</th>\n",
       "      <td>240</td>\n",
       "      <td>The Godfather: Part II</td>\n",
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       "    <tr>\n",
       "      <th>3865</th>\n",
       "      <td>244786</td>\n",
       "      <td>Whiplash</td>\n",
       "      <td>2014</td>\n",
       "      <td>8.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>550</td>\n",
       "      <td>Fight Club</td>\n",
       "      <td>1999</td>\n",
       "      <td>8.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3719</th>\n",
       "      <td>510</td>\n",
       "      <td>One Flew Over the Cuckoo's Nest</td>\n",
       "      <td>1975</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>13</td>\n",
       "      <td>Forrest Gump</td>\n",
       "      <td>1994</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>155</td>\n",
       "      <td>The Dark Knight</td>\n",
       "      <td>2008</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4602</th>\n",
       "      <td>389</td>\n",
       "      <td>12 Angry Men</td>\n",
       "      <td>1957</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2247</th>\n",
       "      <td>128</td>\n",
       "      <td>Princess Mononoke</td>\n",
       "      <td>1997</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>497</td>\n",
       "      <td>The Green Mile</td>\n",
       "      <td>1999</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2170</th>\n",
       "      <td>539</td>\n",
       "      <td>Psycho</td>\n",
       "      <td>1960</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4535</th>\n",
       "      <td>346</td>\n",
       "      <td>Seven Samurai</td>\n",
       "      <td>1954</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990</th>\n",
       "      <td>1891</td>\n",
       "      <td>The Empire Strikes Back</td>\n",
       "      <td>1980</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3057</th>\n",
       "      <td>73</td>\n",
       "      <td>American History X</td>\n",
       "      <td>1998</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1987</th>\n",
       "      <td>4935</td>\n",
       "      <td>Howl's Moving Castle</td>\n",
       "      <td>2004</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1847</th>\n",
       "      <td>769</td>\n",
       "      <td>GoodFellas</td>\n",
       "      <td>1990</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          id                            title  year  vote_average\n",
       "1881     278         The Shawshank Redemption  1994           8.5\n",
       "3337     238                    The Godfather  1972           8.4\n",
       "1818     424                 Schindler's List  1993           8.3\n",
       "3232     680                     Pulp Fiction  1994           8.3\n",
       "2294     129                    Spirited Away  2001           8.3\n",
       "2731     240           The Godfather: Part II  1974           8.3\n",
       "3865  244786                         Whiplash  2014           8.3\n",
       "662      550                       Fight Club  1999           8.3\n",
       "3719     510  One Flew Over the Cuckoo's Nest  1975           8.2\n",
       "809       13                     Forrest Gump  1994           8.2\n",
       "65       155                  The Dark Knight  2008           8.2\n",
       "4602     389                     12 Angry Men  1957           8.2\n",
       "2247     128                Princess Mononoke  1997           8.2\n",
       "690      497                   The Green Mile  1999           8.2\n",
       "2170     539                           Psycho  1960           8.2\n",
       "4535     346                    Seven Samurai  1954           8.2\n",
       "1990    1891          The Empire Strikes Back  1980           8.2\n",
       "3057      73               American History X  1998           8.2\n",
       "1987    4935             Howl's Moving Castle  2004           8.2\n",
       "1847     769                       GoodFellas  1990           8.2"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 按评分推荐电影，取前20个\n",
    "votehot_df = pd.DataFrame()\n",
    "votehot_df['id'] = genres_df['id']\n",
    "votehot_df['title'] = genres_df['title']\n",
    "votehot_df['year'] = genres_df['year']\n",
    "votehot_df['vote_average'] = genres_df['vote_average']\n",
    "votehot_df.sort_values(by='vote_average', ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
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       "    .dataframe thead th {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>title</th>\n",
       "      <th>year</th>\n",
       "      <th>polularity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>211672</td>\n",
       "      <td>Minions</td>\n",
       "      <td>2015</td>\n",
       "      <td>875.581305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>157336</td>\n",
       "      <td>Interstellar</td>\n",
       "      <td>2014</td>\n",
       "      <td>724.247784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>293660</td>\n",
       "      <td>Deadpool</td>\n",
       "      <td>2016</td>\n",
       "      <td>514.569956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>118340</td>\n",
       "      <td>Guardians of the Galaxy</td>\n",
       "      <td>2014</td>\n",
       "      <td>481.098624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>76341</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>2015</td>\n",
       "      <td>434.278564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>135397</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>2015</td>\n",
       "      <td>418.708552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>22</td>\n",
       "      <td>Pirates of the Caribbean: The Curse of the Bla...</td>\n",
       "      <td>2003</td>\n",
       "      <td>271.972889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>119450</td>\n",
       "      <td>Dawn of the Planet of the Apes</td>\n",
       "      <td>2014</td>\n",
       "      <td>243.791743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>131631</td>\n",
       "      <td>The Hunger Games: Mockingjay - Part 1</td>\n",
       "      <td>2014</td>\n",
       "      <td>206.227151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>177572</td>\n",
       "      <td>Big Hero 6</td>\n",
       "      <td>2014</td>\n",
       "      <td>203.734590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>87101</td>\n",
       "      <td>Terminator Genisys</td>\n",
       "      <td>2015</td>\n",
       "      <td>202.042635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>271110</td>\n",
       "      <td>Captain America: Civil War</td>\n",
       "      <td>2016</td>\n",
       "      <td>198.372395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3865</th>\n",
       "      <td>244786</td>\n",
       "      <td>Whiplash</td>\n",
       "      <td>2014</td>\n",
       "      <td>192.528841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>155</td>\n",
       "      <td>The Dark Knight</td>\n",
       "      <td>2008</td>\n",
       "      <td>187.322927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>286217</td>\n",
       "      <td>The Martian</td>\n",
       "      <td>2015</td>\n",
       "      <td>167.932870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>27205</td>\n",
       "      <td>Inception</td>\n",
       "      <td>2010</td>\n",
       "      <td>167.583710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>109445</td>\n",
       "      <td>Frozen</td>\n",
       "      <td>2013</td>\n",
       "      <td>165.125366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>209112</td>\n",
       "      <td>Batman v Superman: Dawn of Justice</td>\n",
       "      <td>2016</td>\n",
       "      <td>155.790452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>2009</td>\n",
       "      <td>150.437577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>550</td>\n",
       "      <td>Fight Club</td>\n",
       "      <td>1999</td>\n",
       "      <td>146.757391</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          id                                              title  year  \\\n",
       "546   211672                                            Minions  2015   \n",
       "95    157336                                       Interstellar  2014   \n",
       "788   293660                                           Deadpool  2016   \n",
       "94    118340                            Guardians of the Galaxy  2014   \n",
       "127    76341                                 Mad Max: Fury Road  2015   \n",
       "28    135397                                     Jurassic World  2015   \n",
       "199       22  Pirates of the Caribbean: The Curse of the Bla...  2003   \n",
       "82    119450                     Dawn of the Planet of the Apes  2014   \n",
       "200   131631              The Hunger Games: Mockingjay - Part 1  2014   \n",
       "88    177572                                         Big Hero 6  2014   \n",
       "108    87101                                 Terminator Genisys  2015   \n",
       "26    271110                         Captain America: Civil War  2016   \n",
       "3865  244786                                           Whiplash  2014   \n",
       "65       155                                    The Dark Knight  2008   \n",
       "270   286217                                        The Martian  2015   \n",
       "96     27205                                          Inception  2010   \n",
       "124   109445                                             Frozen  2013   \n",
       "9     209112                 Batman v Superman: Dawn of Justice  2016   \n",
       "0      19995                                             Avatar  2009   \n",
       "662      550                                         Fight Club  1999   \n",
       "\n",
       "      polularity  \n",
       "546   875.581305  \n",
       "95    724.247784  \n",
       "788   514.569956  \n",
       "94    481.098624  \n",
       "127   434.278564  \n",
       "28    418.708552  \n",
       "199   271.972889  \n",
       "82    243.791743  \n",
       "200   206.227151  \n",
       "88    203.734590  \n",
       "108   202.042635  \n",
       "26    198.372395  \n",
       "3865  192.528841  \n",
       "65    187.322927  \n",
       "270   167.932870  \n",
       "96    167.583710  \n",
       "124   165.125366  \n",
       "9     155.790452  \n",
       "0     150.437577  \n",
       "662   146.757391  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 按热门polularity推荐电影，取前20个\n",
    "popular_df = pd.DataFrame()\n",
    "popular_df['id'] = merge_df['id']\n",
    "popular_df['title'] = merge_df['title']\n",
    "popular_df['year'] = merge_df['year']\n",
    "popular_df['polularity'] = merge_df['popularity']\n",
    "popular_df.sort_values(by='polularity', ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
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       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_countries</th>\n",
       "      <th>year</th>\n",
       "      <th>runtime</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>actor</th>\n",
       "      <th>director</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action,Adventure,Fantasy,Science Fiction</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>culture clash,future,space war,space colony,so...</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>United States of America,United Kingdom</td>\n",
       "      <td>2009</td>\n",
       "      <td>162.0</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "      <td>Jake Sully,Neytiri,Dr. Grace Augustine,Col. Qu...</td>\n",
       "      <td>James Cameron</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adventure,Fantasy,Action</td>\n",
       "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
       "      <td>285</td>\n",
       "      <td>ocean,drug abuse,exotic island,east india trad...</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>2007</td>\n",
       "      <td>169.0</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "      <td>Captain Jack Sparrow,Will Turner,Elizabeth Swa...</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Action,Adventure,Crime</td>\n",
       "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
       "      <td>206647</td>\n",
       "      <td>spy,based on novel,secret agent,sequel,mi6,bri...</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>United Kingdom,United States of America</td>\n",
       "      <td>2015</td>\n",
       "      <td>148.0</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "      <td>James Bond,Blofeld,Madeleine,M</td>\n",
       "      <td>Sam Mendes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Action,Crime,Drama,Thriller</td>\n",
       "      <td>http://www.thedarkknightrises.com/</td>\n",
       "      <td>49026</td>\n",
       "      <td>dc comics,crime fighter,terrorist,secret ident...</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>2012</td>\n",
       "      <td>165.0</td>\n",
       "      <td>The Legend Ends</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</td>\n",
       "      <td>Bruce Wayne / Batman,Alfred Pennyworth,James G...</td>\n",
       "      <td>Christopher Nolan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Action,Adventure,Science Fiction</td>\n",
       "      <td>http://movies.disney.com/john-carter</td>\n",
       "      <td>49529</td>\n",
       "      <td>based on novel,mars,medallion,space travel,pri...</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>2012</td>\n",
       "      <td>132.0</td>\n",
       "      <td>Lost in our world, found in another.</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</td>\n",
       "      <td>John Carter,Dejah Thoris,Sola,Tars Tarkas</td>\n",
       "      <td>Andrew Stanton</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     genres  \\\n",
       "0  Action,Adventure,Fantasy,Science Fiction   \n",
       "1                  Adventure,Fantasy,Action   \n",
       "2                    Action,Adventure,Crime   \n",
       "3               Action,Crime,Drama,Thriller   \n",
       "4          Action,Adventure,Science Fiction   \n",
       "\n",
       "                                       homepage      id  \\\n",
       "0                   http://www.avatarmovie.com/   19995   \n",
       "1  http://disney.go.com/disneypictures/pirates/     285   \n",
       "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
       "3            http://www.thedarkknightrises.com/   49026   \n",
       "4          http://movies.disney.com/john-carter   49529   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  culture clash,future,space war,space colony,so...   \n",
       "1  ocean,drug abuse,exotic island,east india trad...   \n",
       "2  spy,based on novel,secret agent,sequel,mi6,bri...   \n",
       "3  dc comics,crime fighter,terrorist,secret ident...   \n",
       "4  based on novel,mars,medallion,space travel,pri...   \n",
       "\n",
       "                                            overview  popularity  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "3  Following the death of District Attorney Harve...  112.312950   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   \n",
       "\n",
       "                      production_countries  year  runtime  \\\n",
       "0  United States of America,United Kingdom  2009    162.0   \n",
       "1                 United States of America  2007    169.0   \n",
       "2  United Kingdom,United States of America  2015    148.0   \n",
       "3                 United States of America  2012    165.0   \n",
       "4                 United States of America  2012    132.0   \n",
       "\n",
       "                                          tagline  \\\n",
       "0                     Enter the World of Pandora.   \n",
       "1  At the end of the world, the adventure begins.   \n",
       "2                           A Plan No One Escapes   \n",
       "3                                 The Legend Ends   \n",
       "4            Lost in our world, found in another.   \n",
       "\n",
       "                                      title  vote_average  vote_count  \\\n",
       "0                                    Avatar           7.2       11800   \n",
       "1  Pirates of the Caribbean: At World's End           6.9        4500   \n",
       "2                                   Spectre           6.3        4466   \n",
       "3                     The Dark Knight Rises           7.6        9106   \n",
       "4                               John Carter           6.1        2124   \n",
       "\n",
       "                                               actor           director  \n",
       "0  Jake Sully,Neytiri,Dr. Grace Augustine,Col. Qu...      James Cameron  \n",
       "1  Captain Jack Sparrow,Will Turner,Elizabeth Swa...     Gore Verbinski  \n",
       "2                     James Bond,Blofeld,Madeleine,M         Sam Mendes  \n",
       "3  Bruce Wayne / Batman,Alfred Pennyworth,James G...  Christopher Nolan  \n",
       "4          John Carter,Dejah Thoris,Sola,Tars Tarkas     Andrew Stanton  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'',\n",
       " 'Afghanistan',\n",
       " 'Algeria',\n",
       " 'Angola',\n",
       " 'Argentina',\n",
       " 'Aruba',\n",
       " 'Australia',\n",
       " 'Austria',\n",
       " 'Bahamas',\n",
       " 'Belgium',\n",
       " 'Bhutan',\n",
       " 'Bolivia',\n",
       " 'Bosnia and Herzegovina',\n",
       " 'Brazil',\n",
       " 'Bulgaria',\n",
       " 'Cambodia',\n",
       " 'Cameroon',\n",
       " 'Canada',\n",
       " 'Chile',\n",
       " 'China',\n",
       " 'Colombia',\n",
       " 'Cyprus',\n",
       " 'Czech Republic',\n",
       " 'Denmark',\n",
       " 'Dominica',\n",
       " 'Dominican Republic',\n",
       " 'Ecuador',\n",
       " 'Egypt',\n",
       " 'Fiji',\n",
       " 'Finland',\n",
       " 'France',\n",
       " 'Germany',\n",
       " 'Greece',\n",
       " 'Guadaloupe',\n",
       " 'Guyana',\n",
       " 'Hong Kong',\n",
       " 'Hungary',\n",
       " 'Iceland',\n",
       " 'India',\n",
       " 'Indonesia',\n",
       " 'Iran',\n",
       " 'Ireland',\n",
       " 'Israel',\n",
       " 'Italy',\n",
       " 'Jamaica',\n",
       " 'Japan',\n",
       " 'Jordan',\n",
       " 'Kazakhstan',\n",
       " 'Kenya',\n",
       " 'Kyrgyz Republic',\n",
       " 'Lebanon',\n",
       " 'Libyan Arab Jamahiriya',\n",
       " 'Lithuania',\n",
       " 'Luxembourg',\n",
       " 'Malaysia',\n",
       " 'Malta',\n",
       " 'Mexico',\n",
       " 'Monaco',\n",
       " 'Morocco',\n",
       " 'Netherlands',\n",
       " 'New Zealand',\n",
       " 'Nigeria',\n",
       " 'Norway',\n",
       " 'Pakistan',\n",
       " 'Panama',\n",
       " 'Peru',\n",
       " 'Philippines',\n",
       " 'Poland',\n",
       " 'Portugal',\n",
       " 'Romania',\n",
       " 'Russia',\n",
       " 'Serbia',\n",
       " 'Serbia and Montenegro',\n",
       " 'Singapore',\n",
       " 'Slovakia',\n",
       " 'Slovenia',\n",
       " 'South Africa',\n",
       " 'South Korea',\n",
       " 'Spain',\n",
       " 'Sweden',\n",
       " 'Switzerland',\n",
       " 'Taiwan',\n",
       " 'Thailand',\n",
       " 'Tunisia',\n",
       " 'Turkey',\n",
       " 'Ukraine',\n",
       " 'United Arab Emirates',\n",
       " 'United Kingdom',\n",
       " 'United States of America'}"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### 哪个国家电影数量最多，及每个国家电影随时间的变化趋势 ###\n",
    "# 提取所有的国家，production_countries数据以，分隔\n",
    "countries_set = set()\n",
    "for x in merge_df['production_countries']:\n",
    "    countries_set.update(x.split(','))\n",
    "countries_set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "countries_set.discard('') #删除‘’字符\n",
    "# 对各个国家进行one-hot编码,如果一个值中包含指定内容，则编码为1，否则编码为0\n",
    "countries_df = pd.DataFrame()\n",
    "for coun in countries_set:\n",
    "    countries_df[coun] = merge_df['production_countries'].str.contains(coun).map(lambda x: 1 if x else 0)\n",
    "countries_df['year']=merge_df['year']\n",
    "# 将countries_df按year分组，计算每组之和。\n",
    "countries_year = countries_df.groupby('year').sum()\n",
    "#计算每个国家的电影总数目，并降序排列\n",
    "counsum_year = countries_year.sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "United States of America    3956\n",
       "United Kingdom               636\n",
       "Germany                      324\n",
       "France                       306\n",
       "Canada                       261\n",
       "dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#筛选出电影数目小于10的国家\n",
    "counsum_year=counsum_year[counsum_year>10]\n",
    "counsum_year.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XKUwl6/gC4T5ABU6AnsKG/YIlP60EnsYJ1uciIX+zx/WIpExhKlnDFwiXAT/BCdEtPC5H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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe56f780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#可视化每个国家的电影数目比例\n",
    "#计算每个国家的比例\n",
    "co = counsum_year/counsum_year.sum()\n",
    "# 所占比例大于等于0.04时，往外高出一点，比例小于0.01时归为其他\n",
    "others = 0.01\n",
    "col = co[co >= others]\n",
    "col['Other'] = co[co < others].sum()\n",
    "explode = (col >= 0.04)/20 + 0.02\n",
    "# 设置pie参数\n",
    "col.plot.pie(autopct='%1.1f%%', figsize=(8, 8), explode=explode, label='')\n",
    "plt.title('电影产地比例图', fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LSIyPIiREA1CbCmrR1yOJiYls3boVgK1bt9KpUycAYmNjA9o/Ojqa/Px8wFqt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oGRTHDpl26ndMbMvp9tePwRXnv496z6zE3MOeeCAa+bbI3Qvb6ByJZmZNLEeVImvuWTcFYESNR1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\nFEeLcCU9R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dexvn66iv/TwLPpavpeXqwZ+BRFeZ+pRK8oytHYsareR0NnYCffbwLzsDrd\n9VcKtB//oSmKcjQq0SuKcjQ6VjX9aPd1pFeu+yFWgr9FSrktfXf/C6wZ+D4G/Oj9OFhFUQZSw+sU\nRTkaJ1ab+mg40vvagFnAf0gpfw4grUk7NKw+Af/HoJn0FEV5f6gJcxRFeV8IIexSSuODPg5FmehU\nolcURVGUcUxV3SuKoijKOKYSvaIoiqKMYyrRK4qiKMo4phK9oiiKooxjKtEriqIoyjj2/wHCFn6V\nZ6NStwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe435c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 每个国家电影产量随时间的变化趋势图\n",
    "# 从1960年之后开始算，取pie图中比例大于0.01的国家\n",
    "cols = col.drop(['Other'])\n",
    "countries_year60 = countries_year.loc[1960:, cols.index]\n",
    "fig = plt.figure(figsize=(8, 6)) # 设置画图框尺寸\n",
    "ax1 = plt.subplot(1, 1, 1)# 设置图的位置\n",
    "plt.plot(countries_year60) #画折线图\n",
    "# 设置图形格式\n",
    "plt.title('每个国家电影产量随时间的变化趋势图', fontsize=18)\n",
    "plt.xlabel('年份', fontsize=18)\n",
    "plt.ylabel('数量', fontsize=18)\n",
    "plt.xticks(range(1960, 2017, 10))# 设置x轴的刻度\n",
    "plt.legend(countries_year60)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>tagline</th>\n",
       "      <th>overview</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1881</th>\n",
       "      <td>278</td>\n",
       "      <td>The Shawshank Redemption</td>\n",
       "      <td>8.5</td>\n",
       "      <td>Fear can hold you prisoner. Hope can set you f...</td>\n",
       "      <td>Framed in the 1940s for the double murder of h...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3337</th>\n",
       "      <td>238</td>\n",
       "      <td>The Godfather</td>\n",
       "      <td>8.4</td>\n",
       "      <td>An offer you can't refuse.</td>\n",
       "      <td>Spanning the years 1945 to 1955, a chronicle o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>550</td>\n",
       "      <td>Fight Club</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Mischief. Mayhem. Soap.</td>\n",
       "      <td>A ticking-time-bomb insomniac and a slippery s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2731</th>\n",
       "      <td>240</td>\n",
       "      <td>The Godfather: Part II</td>\n",
       "      <td>8.3</td>\n",
       "      <td>I don't feel I have to wipe everybody out, Tom...</td>\n",
       "      <td>In the continuing saga of the Corleone crime f...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1818</th>\n",
       "      <td>424</td>\n",
       "      <td>Schindler's List</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Whoever saves one life, saves the world entire.</td>\n",
       "      <td>The true story of how businessman Oskar Schind...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3865</th>\n",
       "      <td>244786</td>\n",
       "      <td>Whiplash</td>\n",
       "      <td>8.3</td>\n",
       "      <td>The road to greatness can take you to the edge.</td>\n",
       "      <td>Under the direction of a ruthless instructor, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3232</th>\n",
       "      <td>680</td>\n",
       "      <td>Pulp Fiction</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Just because you are a character doesn't mean ...</td>\n",
       "      <td>A burger-loving hit man, his philosophical par...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3719</th>\n",
       "      <td>510</td>\n",
       "      <td>One Flew Over the Cuckoo's Nest</td>\n",
       "      <td>8.2</td>\n",
       "      <td>If he's crazy, what does that make you?</td>\n",
       "      <td>While serving time for insanity at a state men...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>497</td>\n",
       "      <td>The Green Mile</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Miracles do happen.</td>\n",
       "      <td>A supernatural tale set on death row in a Sout...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1847</th>\n",
       "      <td>769</td>\n",
       "      <td>GoodFellas</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Three Decades of Life in the Mafia.</td>\n",
       "      <td>The true story of Henry Hill, a half-Irish, ha...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3057</th>\n",
       "      <td>73</td>\n",
       "      <td>American History X</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Some Legacies Must End.</td>\n",
       "      <td>Derek Vineyard is paroled after serving 3 year...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>13</td>\n",
       "      <td>Forrest Gump</td>\n",
       "      <td>8.2</td>\n",
       "      <td>The world will never be the same, once you've ...</td>\n",
       "      <td>A man with a low IQ has accomplished great thi...</td>\n",
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       "    <tr>\n",
       "      <th>1663</th>\n",
       "      <td>311</td>\n",
       "      <td>Once Upon a Time in America</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Crime, passion and lust for power - Sergio Leo...</td>\n",
       "      <td>A former Prohibition-era Jewish gangster retur...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990</th>\n",
       "      <td>1891</td>\n",
       "      <td>The Empire Strikes Back</td>\n",
       "      <td>8.2</td>\n",
       "      <td>The Adventure Continues...</td>\n",
       "      <td>The epic saga continues as Luke Skywalker, in ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2170</th>\n",
       "      <td>539</td>\n",
       "      <td>Psycho</td>\n",
       "      <td>8.2</td>\n",
       "      <td>The master of suspense moves his cameras into ...</td>\n",
       "      <td>When larcenous real estate clerk Marion Crane ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>155</td>\n",
       "      <td>The Dark Knight</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Why So Serious?</td>\n",
       "      <td>Batman raises the stakes in his war on crime. ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4602</th>\n",
       "      <td>389</td>\n",
       "      <td>12 Angry Men</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Life is in their hands. Death is on their minds.</td>\n",
       "      <td>The defense and the prosecution have rested an...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>27205</td>\n",
       "      <td>Inception</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Your mind is the scene of the crime.</td>\n",
       "      <td>Cobb, a skilled thief who commits corporate es...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2912</th>\n",
       "      <td>11</td>\n",
       "      <td>Star Wars</td>\n",
       "      <td>8.1</td>\n",
       "      <td>A long time ago in a galaxy far, far away...</td>\n",
       "      <td>Princess Leia is captured and held hostage by ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3573</th>\n",
       "      <td>77</td>\n",
       "      <td>Memento</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Some memories are best forgotten.</td>\n",
       "      <td>Suffering short-term memory loss after a head ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "          id                            title  vote_average  \\\n",
       "1881     278         The Shawshank Redemption           8.5   \n",
       "3337     238                    The Godfather           8.4   \n",
       "662      550                       Fight Club           8.3   \n",
       "2731     240           The Godfather: Part II           8.3   \n",
       "1818     424                 Schindler's List           8.3   \n",
       "3865  244786                         Whiplash           8.3   \n",
       "3232     680                     Pulp Fiction           8.3   \n",
       "3719     510  One Flew Over the Cuckoo's Nest           8.2   \n",
       "690      497                   The Green Mile           8.2   \n",
       "1847     769                       GoodFellas           8.2   \n",
       "3057      73               American History X           8.2   \n",
       "809       13                     Forrest Gump           8.2   \n",
       "1663     311      Once Upon a Time in America           8.2   \n",
       "1990    1891          The Empire Strikes Back           8.2   \n",
       "2170     539                           Psycho           8.2   \n",
       "65       155                  The Dark Knight           8.2   \n",
       "4602     389                     12 Angry Men           8.2   \n",
       "96     27205                        Inception           8.1   \n",
       "2912      11                        Star Wars           8.1   \n",
       "3573      77                          Memento           8.1   \n",
       "\n",
       "                                                tagline  \\\n",
       "1881  Fear can hold you prisoner. Hope can set you f...   \n",
       "3337                         An offer you can't refuse.   \n",
       "662                             Mischief. Mayhem. Soap.   \n",
       "2731  I don't feel I have to wipe everybody out, Tom...   \n",
       "1818    Whoever saves one life, saves the world entire.   \n",
       "3865    The road to greatness can take you to the edge.   \n",
       "3232  Just because you are a character doesn't mean ...   \n",
       "3719            If he's crazy, what does that make you?   \n",
       "690                                 Miracles do happen.   \n",
       "1847                Three Decades of Life in the Mafia.   \n",
       "3057                            Some Legacies Must End.   \n",
       "809   The world will never be the same, once you've ...   \n",
       "1663  Crime, passion and lust for power - Sergio Leo...   \n",
       "1990                         The Adventure Continues...   \n",
       "2170  The master of suspense moves his cameras into ...   \n",
       "65                                      Why So Serious?   \n",
       "4602   Life is in their hands. Death is on their minds.   \n",
       "96                 Your mind is the scene of the crime.   \n",
       "2912       A long time ago in a galaxy far, far away...   \n",
       "3573                  Some memories are best forgotten.   \n",
       "\n",
       "                                               overview  \n",
       "1881  Framed in the 1940s for the double murder of h...  \n",
       "3337  Spanning the years 1945 to 1955, a chronicle o...  \n",
       "662   A ticking-time-bomb insomniac and a slippery s...  \n",
       "2731  In the continuing saga of the Corleone crime f...  \n",
       "1818  The true story of how businessman Oskar Schind...  \n",
       "3865  Under the direction of a ruthless instructor, ...  \n",
       "3232  A burger-loving hit man, his philosophical par...  \n",
       "3719  While serving time for insanity at a state men...  \n",
       "690   A supernatural tale set on death row in a Sout...  \n",
       "1847  The true story of Henry Hill, a half-Irish, ha...  \n",
       "3057  Derek Vineyard is paroled after serving 3 year...  \n",
       "809   A man with a low IQ has accomplished great thi...  \n",
       "1663  A former Prohibition-era Jewish gangster retur...  \n",
       "1990  The epic saga continues as Luke Skywalker, in ...  \n",
       "2170  When larcenous real estate clerk Marion Crane ...  \n",
       "65    Batman raises the stakes in his war on crime. ...  \n",
       "4602  The defense and the prosecution have rested an...  \n",
       "96    Cobb, a skilled thief who commits corporate es...  \n",
       "2912  Princess Leia is captured and held hostage by ...  \n",
       "3573  Suffering short-term memory loss after a head ...  "
      ]
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   "source": [
    "### 选出美国电影评分前20\n",
    "# countries_df加入id,title,vote_average\n",
    "countries_df['id'] = merge_df['id']\n",
    "countries_df['title'] = merge_df['title']\n",
    "countries_df['vote_average'] = merge_df['vote_average']\n",
    "countries_df['vote_count'] = merge_df['vote_count']\n",
    "# 删除评价人数小于100的电影\n",
    "countries_df = countries_df[countries_df['vote_count'] > 100]\n",
    "usa_vote = countries_df[countries_df['United States of America']==1][['id', 'title', 'vote_average']]\n",
    "usa_vote['tagline'] = merge_df['tagline']\n",
    "usa_vote['overview'] = merge_df['overview']\n",
    "usa_vote.sort_values(by='vote_average', ascending=False).head(20)"
   ]
  },
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       "      <th>id</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>genres</th>\n",
       "      <th>tagline</th>\n",
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       "  <tbody>\n",
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       "      <th>809</th>\n",
       "      <td>13</td>\n",
       "      <td>Forrest Gump</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Comedy,Drama,Romance</td>\n",
       "      <td>The world will never be the same, once you've ...</td>\n",
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       "      <th>3906</th>\n",
       "      <td>284</td>\n",
       "      <td>The Apartment</td>\n",
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       "      <td>Comedy,Drama,Romance</td>\n",
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       "      <th>4238</th>\n",
       "      <td>3082</td>\n",
       "      <td>Modern Times</td>\n",
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       "      <td>Drama,Comedy</td>\n",
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       "      <th>2285</th>\n",
       "      <td>105</td>\n",
       "      <td>Back to the Future</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Adventure,Comedy,Science Fiction,Family</td>\n",
       "      <td>He's the only kid ever to get into trouble bef...</td>\n",
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       "      <th>77</th>\n",
       "      <td>150540</td>\n",
       "      <td>Inside Out</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Drama,Comedy,Animation,Family</td>\n",
       "      <td>Meet the little voices inside your head.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4173</th>\n",
       "      <td>935</td>\n",
       "      <td>Dr. Strangelove or: How I Learned to Stop Worr...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Drama,Comedy,War</td>\n",
       "      <td>The hot-line suspense comedy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1532</th>\n",
       "      <td>120467</td>\n",
       "      <td>The Grand Budapest Hotel</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Comedy,Drama</td>\n",
       "      <td>A perfect holiday without leaving home.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3984</th>\n",
       "      <td>239</td>\n",
       "      <td>Some Like It Hot</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Comedy,Romance</td>\n",
       "      <td>The movie too HOT for words!</td>\n",
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       "    <tr>\n",
       "      <th>3526</th>\n",
       "      <td>9277</td>\n",
       "      <td>The Sting</td>\n",
       "      <td>7.9</td>\n",
       "      <td>Comedy,Crime,Drama</td>\n",
       "      <td>...all it takes is a little confidence.</td>\n",
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       "    <tr>\n",
       "      <th>4216</th>\n",
       "      <td>3083</td>\n",
       "      <td>Mr. Smith Goes to Washington</td>\n",
       "      <td>7.9</td>\n",
       "      <td>Comedy,Drama</td>\n",
       "      <td>Romance, drama, laughter and heartbreak... cre...</td>\n",
       "    </tr>\n",
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       "          id                                              title  vote_average  \\\n",
       "809       13                                       Forrest Gump           8.2   \n",
       "3906     284                                      The Apartment           8.1   \n",
       "4238    3082                                       Modern Times           8.1   \n",
       "2285     105                                 Back to the Future           8.0   \n",
       "77    150540                                         Inside Out           8.0   \n",
       "4173     935  Dr. Strangelove or: How I Learned to Stop Worr...           8.0   \n",
       "1532  120467                           The Grand Budapest Hotel           8.0   \n",
       "3984     239                                   Some Like It Hot           8.0   \n",
       "3526    9277                                          The Sting           7.9   \n",
       "4216    3083                       Mr. Smith Goes to Washington           7.9   \n",
       "\n",
       "                                       genres  \\\n",
       "809                      Comedy,Drama,Romance   \n",
       "3906                     Comedy,Drama,Romance   \n",
       "4238                             Drama,Comedy   \n",
       "2285  Adventure,Comedy,Science Fiction,Family   \n",
       "77              Drama,Comedy,Animation,Family   \n",
       "4173                         Drama,Comedy,War   \n",
       "1532                             Comedy,Drama   \n",
       "3984                           Comedy,Romance   \n",
       "3526                       Comedy,Crime,Drama   \n",
       "4216                             Comedy,Drama   \n",
       "\n",
       "                                                tagline  \n",
       "809   The world will never be the same, once you've ...  \n",
       "3906  Movie-wise, there has never been anything like...  \n",
       "4238  He stands alone as the greatest entertainer of...  \n",
       "2285  He's the only kid ever to get into trouble bef...  \n",
       "77             Meet the little voices inside your head.  \n",
       "4173                       The hot-line suspense comedy  \n",
       "1532            A perfect holiday without leaving home.  \n",
       "3984                       The movie too HOT for words!  \n",
       "3526            ...all it takes is a little confidence.  \n",
       "4216  Romance, drama, laughter and heartbreak... cre...  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
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    }
   ],
   "source": [
    "#按心情推荐对应类型的电影\n",
    "sad_mood = genres_df[genres_df['Comedy']==1][['id', 'title', 'vote_average']]\n",
    "sad_mood['genres'] = merge_df['genres']\n",
    "sad_mood['tagline'] = merge_df['tagline']\n",
    "sad_mood.sort_values(by='vote_average', ascending=False).head(10)\n",
    "# or genres_df['Science fiction']==1 or genres_df['Family']==1 or genres_df['Fantasy']==1"
   ]
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